Triple
T2663710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň Region |
E54782
|
entity |
| Predicate | hasMunicipalityWithExtendedPowers |
P41272
|
FINISHED |
| Object |
Planá
Planá is a town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
|
E286685
|
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: Planá | Statement: [Plzeň Region, hasMunicipalityWithExtendedPowers, Planá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planá Context triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Planá]
-
A.
Celestún
Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
-
B.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
C.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
D.
Mondas
Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
-
E.
Terah
Terah is a biblical patriarch known as the father of Abraham and a descendant of Shem who lived in Mesopotamia.
- 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: Planá Triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Planá]
Generated description
Planá is a town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Planá Target entity description: Planá is a town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
A.
Celestún
Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
-
B.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
C.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
D.
Mondas
Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
-
E.
Terah
Terah is a biblical patriarch known as the father of Abraham and a descendant of Shem who lived in Mesopotamia.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdd1e80dc819083e04e1427d187d0 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98dc36d8819086fc739c324f0761 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af9a14cda48190bd903495ce48a4f0 |
completed | March 10, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9a7b27608190ba76048c4c8a4bae |
completed | March 10, 2026, 4:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.