Triple

T7103151
Position Surface form Disambiguated ID Type / Status
Subject Tambolaka Airport E165508 entity
Predicate cityServed P82 FINISHED
Object Tambolaka E169903 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: Tambolaka | Statement: [Tambolaka Airport, cityServed, Tambolaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tambolaka
Context triple: [Tambolaka Airport, cityServed, Tambolaka]
  • A. Tambolaka chosen
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • B. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • C. Tasiilaq
    Tasiilaq is a remote town on the southeastern coast of Greenland, known for its dramatic fjord landscape, Inuit culture, and role as a regional hub for outdoor and Arctic expeditions.
  • D. Savusavu
    Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
  • E. Tayauh
    Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58a0a2c819088e0c8874fb4491f completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8d23bc0819095b7a3bf09b8bacd completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:42 p.m.