Triple
T2807747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mardan |
E54093
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
MDN
MDN is the vehicle registration code assigned to Mardan, a city in the Khyber Pakhtunkhwa province of Pakistan.
|
E299011
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MDN | Statement: [Mardan, vehicleRegistrationCode, MDN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDN Context triple: [Mardan, vehicleRegistrationCode, MDN]
-
A.
MDN Web Docs
MDN Web Docs is a comprehensive, community-driven documentation resource for web technologies such as HTML, CSS, and JavaScript, widely used by developers to learn and reference open web standards.
-
B.
WHATWG
WHATWG is a community-driven standards organization that develops and maintains key web technologies, including the living standard for HTML.
-
C.
Mozilla JavaScript team
The Mozilla JavaScript team is the group within Mozilla responsible for developing and maintaining the SpiderMonkey JavaScript engine used in Firefox and other Mozilla projects.
-
D.
Mozilla
Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
-
E.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MDN Triple: [Mardan, vehicleRegistrationCode, MDN]
Generated description
MDN is the vehicle registration code assigned to Mardan, a city in the Khyber Pakhtunkhwa province of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDN Target entity description: MDN is the vehicle registration code assigned to Mardan, a city in the Khyber Pakhtunkhwa province of Pakistan.
-
A.
MDN Web Docs
MDN Web Docs is a comprehensive, community-driven documentation resource for web technologies such as HTML, CSS, and JavaScript, widely used by developers to learn and reference open web standards.
-
B.
WHATWG
WHATWG is a community-driven standards organization that develops and maintains key web technologies, including the living standard for HTML.
-
C.
Mozilla JavaScript team
The Mozilla JavaScript team is the group within Mozilla responsible for developing and maintaining the SpiderMonkey JavaScript engine used in Firefox and other Mozilla projects.
-
D.
Mozilla
Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
-
E.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde2fdcf88190a52e515c166ea8f7 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc678d6488190be73244b7e78f30c |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc79deb2081908b0bfa5f14395503 |
completed | March 10, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc82ac1148190a254415e336ba1e3 |
completed | March 10, 2026, 7:28 a.m. |
Created at: March 6, 2026, 9:59 p.m.