Triple
T5875859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auyán-tepui |
E130622
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Uruyén
Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
|
E553566
|
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: Uruyén | Statement: [Auyán-tepui, nearbySettlement, Uruyén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruyén Context triple: [Auyán-tepui, nearbySettlement, Uruyén]
-
A.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Egushawa
Egushawa was an 18th-century Ottawa war chief known for his prominent leadership in Native American resistance against United States expansion in the Old Northwest.
-
D.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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: Uruyén Triple: [Auyán-tepui, nearbySettlement, Uruyén]
Generated description
Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uruyén Target entity description: Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
-
A.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Egushawa
Egushawa was an 18th-century Ottawa war chief known for his prominent leadership in Native American resistance against United States expansion in the Old Northwest.
-
D.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0362fb6948190bdbb3f1d446d070c |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12242dc819093ccd41c9705dd72 |
completed | March 23, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c0b1e5cdc081908d0d2b76701d20ea |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b24d7d148190901e233d815d21ad |
completed | March 23, 2026, 3:23 a.m. |
Created at: March 22, 2026, 3:57 p.m.