Triple

T14664855
Position Surface form Disambiguated ID Type / Status
Subject Stonewall County E344340 entity
Predicate largestSettlement P163 FINISHED
Object Aspermont E1112789 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: Aspermont | Statement: [Stonewall County, largestSettlement, Aspermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspermont
Context triple: [Stonewall County, largestSettlement, Aspermont]
  • A. Aspermont chosen
    Aspermont is a small rural town in West Texas that serves as the administrative and commercial hub of Stonewall County.
  • B. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • C. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
  • D. Monsaraz
    Monsaraz is a historic hilltop village in Portugal’s Alentejo region, renowned for its medieval walls, whitewashed houses, and panoramic views over the Alqueva reservoir.
  • E. Baulmes
    Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54c69f8819080a37161deecfba8 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07c7fa88190bb09f2f444d69786 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.