Triple

T16415577
Position Surface form Disambiguated ID Type / Status
Subject Somervell County E398674 entity
Predicate largestCity P235 FINISHED
Object Glen Rose E275486 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: Glen Rose | Statement: [Somervell County, largestCity, Glen Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen Rose
Context triple: [Somervell County, largestCity, Glen Rose]
  • A. Glen Rose, Texas chosen
    Glen Rose, Texas is a small North Texas city known for its historic downtown, proximity to the Paluxy River, and nearby dinosaur track sites and state parks.
  • B. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • C. Paluxy, Texas
    Paluxy, Texas is a small unincorporated community in Hood County known for its rural setting near the dinosaur track–famous Paluxy River.
  • D. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • E. Arbuckle
    Arbuckle is a small agricultural town in California’s Sacramento Valley, known for its farming community and rural character.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287741008190856882b7f34024fc completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f457b8c8190b278697ef43301cb completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.