Triple

T28187814

Position	Surface form	Disambiguated ID	Type / Status
Subject	愛知県豊橋市	`E716224`	entity
Predicate	servedByRailway	`P848`	FINISHED
Object	豊橋鉄道東田本線豊橋鉄道東田本線は、愛知県豊橋市内を走る路面電車（市内電車）路線で、駅前から赤岩口・運動公園前方面を結ぶ地域の主要な公共交通機関である。	`E1804829`	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: 豊橋鉄道東田本線 | Statement: [愛知県豊橋市, servedByRailway, 豊橋鉄道東田本線]

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: 豊橋鉄道東田本線
Triple: [愛知県豊橋市, servedByRailway, 豊橋鉄道東田本線]

Generated description

豊橋鉄道東田本線は、愛知県豊橋市内を走る路面電車（市内電車）路線で、駅前から赤岩口・運動公園前方面を結ぶ地域の主要な公共交通機関である。

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_69efd6b612f48190a72012b520afbd10`	completed	April 27, 2026, 9:35 p.m.
NER	Named-entity recognition	`batch_69f64287a3448190a3e3b280e02c512c`	completed	May 2, 2026, 6:29 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15d7cb96c48190a4e9248c31aad92a`	completed	May 26, 2026, 5:26 p.m.
NEDg	Description generation	`batch_6a15d8f3f6ac819089bad6bb160d76b6`	completed	May 26, 2026, 5:31 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15d9c2a704819095e2c65e42d63a17`	completed	May 26, 2026, 5:34 p.m.

Created at: April 27, 2026, 10:23 p.m.