Triple

T13584174
Position Surface form Disambiguated ID Type / Status
Subject Diss E324501 entity
Predicate postalTown P2711 FINISHED
Object DISS E324501 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: DISS | Statement: [Diss, postalTown, DISS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DISS
Context triple: [Diss, postalTown, DISS]
  • A. Diss chosen
    Diss is a historic market town in eastern England known for its picturesque mere and traditional town center.
  • B. DIS
    DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
  • C. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • D. Dis
    Dis is the fortified infernal city in Dante Alighieri’s "Inferno," marking the deeper, more grievous circles of Hell.
  • E. Dis
    Dis is an alternate name for Pluto, the Roman god of the underworld and wealth.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.