Triple

T15908796
Position Surface form Disambiguated ID Type / Status
Subject Florinese E385791 entity
Predicate associatedWithPlace P2830 FINISHED
Object Florin City E1183676 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: Florin City | Statement: [Florinese, associatedWithPlace, Florin City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florin City
Context triple: [Florinese, associatedWithPlace, Florin City]
  • A. Florin City chosen
    Florin City is the principal urban and administrative center of the fictional country of Florin in "The Princess Bride" universe.
  • B. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • C. Sunrise City
    Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
  • D. Sunrise City
    Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
  • E. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a5b0dc81909606d667c3bc0edf completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.