Triple

T27784658

Position	Surface form	Disambiguated ID	Type / Status
Subject	Temple 16 (Copán)	`E700926`	entity
Predicate	hasSubstructure	`P35`	FINISHED
Object	Yehnal temple The Yehnal temple is an architectural substructure within the ancient Maya site of Copán, likely representing an earlier construction phase or ceremonial building beneath Temple 16.	`E1788804`	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: Yehnal temple | Statement: [Temple 16 (Copán), hasSubstructure, Yehnal temple]

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: Yehnal temple
Triple: [Temple 16 (Copán), hasSubstructure, Yehnal temple]

Generated description

The Yehnal temple is an architectural substructure within the ancient Maya site of Copán, likely representing an earlier construction phase or ceremonial building beneath Temple 16.

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_69ef6a50d8088190acbf3dfbb06d8091`	completed	April 27, 2026, 1:53 p.m.
NER	Named-entity recognition	`batch_69f637d14af48190853835015359ec9d`	completed	May 2, 2026, 5:43 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12ecc61728819095cad91e0fa3ab4f`	completed	May 24, 2026, 12:19 p.m.
NEDg	Description generation	`batch_6a12ed68ab588190a2247672cc7818d8`	completed	May 24, 2026, 12:22 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12ee56948881908c58657e262882a0`	completed	May 24, 2026, 12:25 p.m.

Created at: April 27, 2026, 5:24 p.m.