Triple
T1559204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahiti |
E33279
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Papeete |
E177950
|
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: Papeete | Statement: [Tahiti, largestCity, Papeete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papeete Context triple: [Tahiti, largestCity, Papeete]
-
A.
Papeete
chosen
Papeete is the principal city and administrative, economic, and cultural center of French Polynesia, located on the island of Tahiti in the South Pacific.
-
B.
Nouméa, New Caledonia
Nouméa is the capital and largest city of New Caledonia, a French territory in the South Pacific known for its strategic port, multicultural population, and role as a regional administrative and economic center.
-
C.
Nukuʻalofa
Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
-
D.
Port Louis
Port Louis is the capital and largest city of Mauritius, serving as its main economic, political, and cultural center as well as a key regional port in the Indian Ocean.
-
E.
Roseau
Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401e12088190b6f0f5b0d8a423cf |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.