Triple
T4420874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humanitarian Data Exchange |
E95093
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
|
E437572
|
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: HDX | Statement: [Humanitarian Data Exchange, abbreviation, HDX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDX Context triple: [Humanitarian Data Exchange, abbreviation, HDX]
-
A.
HDH
HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
-
B.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
C.
OMXH
OMXH is the stock market index and trading symbol associated with Nasdaq Helsinki, representing Finnish equities listed on the exchange.
-
D.
HAD
HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
-
E.
HAP
HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
- 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: HDX Triple: [Humanitarian Data Exchange, abbreviation, HDX]
Generated description
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HDX Target entity description: HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
A.
HDH
HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
-
B.
HDI
The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
-
C.
OMXH
OMXH is the stock market index and trading symbol associated with Nasdaq Helsinki, representing Finnish equities listed on the exchange.
-
D.
HAD
HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
-
E.
HAP
HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35521e020819099e72b9e2ccbd36d |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62715748190abceb14396ad637d |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6d4bb84819081512aec6b49507b |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 12, 2026, 11:30 p.m.