Triple

T820540
Position Surface form Disambiguated ID Type / Status
Subject Alabama E17742 entity
Predicate containsCity P294 FINISHED
Object Mobile E32348 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: Mobile | Statement: [Alabama, containsCity, Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile
Context triple: [Alabama, containsCity, Mobile]
  • A. Mobile chosen
    Mobile is a historic port city on Alabama’s Gulf Coast known for its shipbuilding, cultural heritage, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • B. SIM
    SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
  • C. iPhone
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • D. Opera Mini
    Opera Mini is a lightweight mobile web browser designed to compress data and load pages quickly, especially on slower networks and lower-end devices.
  • E. Breeze Mobile
    Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d91c2948190bc13a223548facba completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.