Triple

T34258702
Position Surface form Disambiguated ID Type / Status
Subject 九十九里浜 E878965 entity
Predicate 通過市町村 P178716 FINISHED
Object 山武市
山武市は千葉県北東部に位置し、太平洋に面した九十九里浜の一角を有する自然豊かな市です。
E2087798 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: 山武市 | Statement: [九十九里浜, 通過市町村, 山武市]
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: 山武市
Triple: [九十九里浜, 通過市町村, 山武市]
Generated description
山武市は千葉県北東部に位置し、太平洋に面した九十九里浜の一角を有する自然豊かな市です。

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_69f349b421cc8190b4b4655e1d612548 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f718252060819098a43772c63252a8 completed May 3, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36d5f84768819081728f64fe1b9586 completed June 20, 2026, 6:03 p.m.
NEDg Description generation batch_6a36d7ec30d08190b7c34f3710a9f8c4 completed June 20, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_6a36d93680448190bc0b7bfba6e1c55e completed June 20, 2026, 6:17 p.m.
Created at: May 1, 2026, 1:56 a.m.