Triple

T24060160
Position Surface form Disambiguated ID Type / Status
Subject Highworth Town Council E595924 entity
Predicate headOfGovernment P307 FINISHED
Object Town Mayor of Highworth
The Town Mayor of Highworth is the ceremonial and civic leader of the town, representing Highworth at official events and presiding over its local council functions.
E1618546 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: Town Mayor of Highworth | Statement: [Highworth Town Council, headOfGovernment, Town Mayor of Highworth]
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: Town Mayor of Highworth
Triple: [Highworth Town Council, headOfGovernment, Town Mayor of Highworth]
Generated description
The Town Mayor of Highworth is the ceremonial and civic leader of the town, representing Highworth at official events and presiding over its local council functions.

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_69e288c25c008190850cf447940ab181 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da55903c8190ad5d578e33a9dae9 completed April 29, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f96601c6481908a3e035005025201 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f9a8d66948190a339664b2b85f1d5 completed May 21, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_6a0f9b0e3e588190bcbbdfea80ee54f6 completed May 21, 2026, 11:53 p.m.
Created at: April 17, 2026, 10:38 p.m.