Triple

T21324093
Position Surface form Disambiguated ID Type / Status
Subject Frank J. Wood Bridge E525701 entity
Predicate namedAfter P63 FINISHED
Object Frank J. Wood
Frank J. Wood was a local Maine politician and civic figure after whom the historic Frank J. Wood Bridge between Brunswick and Topsham was named.
 E2289297 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: Frank J. Wood | Statement: [Frank J. Wood Bridge, namedAfter, Frank J. Wood]
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: Frank J. Wood
Triple: [Frank J. Wood Bridge, namedAfter, Frank J. Wood]
Generated description
Frank J. Wood was a local Maine politician and civic figure after whom the historic Frank J. Wood Bridge between Brunswick and Topsham was named.

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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed652c881909b0db482bc090993 completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b1de1675081909cca4505080dd1ff completed July 18, 2026, 6:32 a.m.
NEDg Description generation batch_6a5b1e9d8f6081909234273317704bb6 completed July 18, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a5b1f62e3d08190bde35f78fa8c0808 completed July 18, 2026, 6:38 a.m.
Created at: April 16, 2026, 4:40 p.m.