Triple

T13141401
Position Surface form Disambiguated ID Type / Status
Subject Sugar Land E312217 entity
Predicate hasMajorEmployer P588 FINISHED
Object Fluor Corporation E458412 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: Fluor Corporation | Statement: [Sugar Land, hasMajorEmployer, Fluor Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fluor Corporation
Context triple: [Sugar Land, hasMajorEmployer, Fluor Corporation]
  • A. Fluor Corporation chosen
    Fluor Corporation is a global engineering, procurement, construction, and project management company known for delivering large-scale infrastructure, energy, and government projects worldwide.
  • B. Nalco Company
    Nalco Company is a global water treatment and process improvement firm known for producing industrial chemicals, including the oil spill dispersant Corexit 9500A.
  • C. Rohm and Haas
    Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
  • D. FMC Corporation
    FMC Corporation is an American industrial company historically known for producing military vehicles and equipment as well as agricultural and chemical products.
  • E. GenCorp
    GenCorp is a diversified American holding company best known as the corporate parent of RKO General and for its interests in aerospace, defense, and related industries.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.