Triple

T10519552
Position Surface form Disambiguated ID Type / Status
Subject VSTC E248127 entity
Predicate shortName P43 FINISHED
Object VSTC E248127 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: VSTC | Statement: [VSTC, shortName, VSTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VSTC
Context triple: [VSTC, shortName, VSTC]
  • A. VSTC chosen
    VSTC is the Virginia Science and Technology Campus of George Washington University, known for its research facilities and graduate programs in science, technology, and engineering.
  • B. VTCS
    VTCS is the ICAO airport code assigned to Mae Sot Airport in Thailand.
  • C. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • D. VTBS
    VTBS is the ICAO airport code for Suvarnabhumi Airport, Bangkok’s main international aviation hub in Thailand.
  • E. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509de0b3081909bec337aa8ff193e completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e063e948190b2f7cbae05d9ea61 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:28 p.m.