Triple

T25576937
Position Surface form Disambiguated ID Type / Status
Subject Harrison County E641132 entity
Predicate hasMajorHighway P385 FINISHED
Object State Highway 154
State Highway 154 is a Texas state highway that serves as a key regional route connecting communities in and around Harrison County.
 E2296733 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: State Highway 154 | Statement: [Harrison County, hasMajorHighway, State Highway 154]
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: State Highway 154
Triple: [Harrison County, hasMajorHighway, State Highway 154]
Generated description
State Highway 154 is a Texas state highway that serves as a key regional route connecting communities in and around Harrison County.

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_69e75dc281bc819095ec04dc0c3a94d0 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f931bdd88190ac4bf404087f4c83 completed May 2, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a82adaae2088190871c5a21fa653adb completed Aug. 17, 2026, 6:43 a.m.
NEDg Description generation batch_6a82af9c101c81909407c0a4b73d841e completed Aug. 17, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a82b0890e008190bf07b2d558460fb7 completed Aug. 17, 2026, 6:56 a.m.
Created at: April 21, 2026, 4:02 p.m.