Triple

T37127799
Position Surface form Disambiguated ID Type / Status
Subject Tzekel-Kan E919433 entity
Predicate affiliation P10 FINISHED
Object priesthood of El Dorado
The priesthood of El Dorado is a religious order from the animated film "The Road to El Dorado," devoted to serving the gods and maintaining spiritual authority over the golden city.
E2213581 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: priesthood of El Dorado | Statement: [Tzekel-Kan, affiliation, priesthood of El Dorado]
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: priesthood of El Dorado
Triple: [Tzekel-Kan, affiliation, priesthood of El Dorado]
Generated description
The priesthood of El Dorado is a religious order from the animated film "The Road to El Dorado," devoted to serving the gods and maintaining spiritual authority over the golden city.

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_69f76e9d13e48190a108f7fbf80ff375 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb303ba8c88190a0e5fbe3337b74e0 completed May 6, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f6a1f7db08190b20030e6c0290e60 completed June 27, 2026, 6:13 a.m.
NEDg Description generation batch_6a3f6b00a9788190b91e5ef4c2af8340 completed June 27, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3f6b8877dc8190869db81917018452 completed June 27, 2026, 6:19 a.m.
Created at: May 3, 2026, 4:15 p.m.