Triple

T27645832
Position Surface form Disambiguated ID Type / Status
Subject La Quiaca E696710 entity
Predicate locatedOn P40 FINISHED
Object La Quiaca River
La Quiaca River is a high-altitude river in the far north of Argentina that forms part of the border with Bolivia near the town of La Quiaca.
 E1851599 NE FINISHED

How this triple was built (2 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: La Quiaca River | Statement: [La Quiaca, locatedOn, La Quiaca River]
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: La Quiaca River
Triple: [La Quiaca, locatedOn, La Quiaca River]
Generated description
La Quiaca River is a high-altitude river in the far north of Argentina that forms part of the border with Bolivia near the town of La Quiaca.

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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63195d7808190a4d4bde80e99d31d completed May 2, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537810cf48190908a337411acb4b4 completed June 7, 2026, 9:18 a.m.
NEDg Description generation batch_6a253bf87598819087116abf2274d649 completed June 7, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_6a25470a98f48190b7afa02e39675cc3 completed June 7, 2026, 10:25 a.m.
Created at: April 27, 2026, 2:29 p.m.