Triple

T9508784
Position Surface form Disambiguated ID Type / Status
Subject St. Augustine Lighthouse E229337 entity
Predicate location P40 FINISHED
Object Anastasia Island E801582 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: Anastasia Island | Statement: [St. Augustine Lighthouse, location, Anastasia Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anastasia Island
Context triple: [St. Augustine Lighthouse, location, Anastasia Island]
  • A. Anastasia Island chosen
    Anastasia Island is a barrier island off the coast of St. Augustine, Florida, known for its beaches, state park, and historic connection to the city.
  • B. St. Anastasia Island
    St. Anastasia Island is a small Bulgarian island in the Black Sea, known for its historic monastery, lighthouse, and role as a former political prison, now a popular tourist destination.
  • C. Margarita Island
    Margarita Island is a popular Caribbean island of Venezuela known for its beaches, tourism, and duty-free shopping.
  • D. Canopus Island
    Canopus Island is a small island located within Lake Mahopac in Putnam County, New York, known primarily as part of the lake’s scenic recreational landscape.
  • E. Frenchman Island
    Frenchman Island is a small, historically notable island located in Oneida Lake in central New York State.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9855c5e48190a7d8d39b6d601679 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2b34948190826b1f58258a4f54 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:58 p.m.