Triple

T3515979
Position Surface form Disambiguated ID Type / Status
Subject E Pier E74307 entity
Predicate hasIATACodeContext P2569 FINISHED
Object AMS E73354 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: AMS | Statement: [E Pier, hasIATACodeContext, AMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMS
Context triple: [E Pier, hasIATACodeContext, AMS]
  • A. AMS chosen
    AMS is the three-letter IATA airport code for Amsterdam Airport Schiphol, the main international airport of the Netherlands.
  • B. AMS
    AMS is a United States Department of Agriculture agency that develops quality standards, grading, and marketing programs for agricultural products to support fair and efficient markets.
  • C. ACS
    ACS is a leading U.S.-based scientific society and publisher focused on advancing the chemistry enterprise and its practitioners worldwide.
  • D. ACS
    ACS is a regional organization that promotes cooperation, trade, and sustainable development among Caribbean and neighboring Latin American states.
  • E. ACS
    ACS is a high-resolution imaging instrument aboard the Hubble Space Telescope used for deep-space surveys and detailed astronomical observations.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc30362c81908ca7497a6a935cc6 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc4e9988190921d193e84e53bf1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.