Triple

T21359640

Position	Surface form	Disambiguated ID	Type / Status
Subject	Etchū Province	`E526735`	entity
Predicate	hadProvincialTemple	`P88157`	FINISHED
Object	Etchū Kokubun-ji Etchū Kokubun-ji is an ancient Buddhist temple in Japan that served as the official provincial temple of the former Etchū Province, established under the nationwide kokubun-ji system in the Nara period.	`E1707746`	NE FINISHED

How this triple was built (3 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: Etchū Kokubun-ji | Statement: [Etchū Province, hadProvincialTemple, Etchū Kokubun-ji]

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: Etchū Kokubun-ji
Triple: [Etchū Province, hadProvincialTemple, Etchū Kokubun-ji]

Generated description

Etchū Kokubun-ji is an ancient Buddhist temple in Japan that served as the official provincial temple of the former Etchū Province, established under the nationwide kokubun-ji system in the Nara period.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hadProvincialTemple
Context triple: [Etchū Province, hadProvincialTemple, Etchū Kokubun-ji]

A. hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
B. hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
C. hasHistoricTemple
Indicates that an entity possesses, contains, or is associated with a temple of historical significance.
D. hasTempleLocation chosen
Indicates that a temple is located at or associated with a specific place or geographic location.
E. hasTempleDistrict
Indicates that a place or settlement contains or is associated with a designated temple district area.
F. None of above.

Provenance (6 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_69e0b51d8a308190b09113b3b3f9bc15`	completed	April 16, 2026, 10:08 a.m.
NER	Named-entity recognition	`batch_69ee5bad6a308190a9665734a0fb5f55`	completed	April 26, 2026, 6:38 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a111ad3ccd88190b64f18797bded703`	completed	May 23, 2026, 3:11 a.m.
NEDg	Description generation	`batch_6a111d4d7ba88190ad3174850da37549`	completed	May 23, 2026, 3:21 a.m.
NED2	Entity disambiguation (via description)	`batch_6a111dab6a38819095dcc72b1c1b928b`	completed	May 23, 2026, 3:23 a.m.
PD	Predicate disambiguation	`batch_69e6162bbfc88190a3e75859941b2638`	completed	April 20, 2026, 12:03 p.m.

Created at: April 16, 2026, 5:07 p.m.