Triple

T27563726
Position Surface form Disambiguated ID Type / Status
Subject Maya ruins at Palenque E695839 entity
Predicate nearRiver P350 FINISHED
Object Otulum River
The Otulum River is a small watercourse in Chiapas, Mexico, that flows through the ancient Maya city of Palenque, forming scenic waterfalls and ravines around the ruins.
 E2293312 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: Otulum River | Statement: [Maya ruins at Palenque, nearRiver, Otulum 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: Otulum River
Triple: [Maya ruins at Palenque, nearRiver, Otulum River]
Generated description
The Otulum River is a small watercourse in Chiapas, Mexico, that flows through the ancient Maya city of Palenque, forming scenic waterfalls and ravines around the ruins.

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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62fbbc4408190b9afd456a429f61b completed May 2, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a8e344ac88190aaddf8c213f47f2e completed Aug. 11, 2026, 2:51 a.m.
NEDg Description generation batch_6a7a8e99280481908b6f41f77a0936b9 completed Aug. 11, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_6a7a8ed5791c8190a7c26108900fa474 completed Aug. 11, 2026, 2:54 a.m.
Created at: April 27, 2026, 1:40 p.m.