Triple
T5123209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lata Mountain |
E115519
|
entity |
| Predicate | highestPointOf |
P1674
|
FINISHED |
| Object | Taʻū |
E18548
|
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: Taʻū | Statement: [Lata Mountain, highestPointOf, Taʻū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taʻū Context triple: [Lata Mountain, highestPointOf, Taʻū]
-
A.
Taʻū
chosen
Taʻū is the largest island in the Manuʻa group of American Samoa, known for its dramatic volcanic landscapes, traditional Samoan villages, and significant ecological and cultural heritage.
-
B.
Taʻū Island
Taʻū Island is a remote volcanic island in American Samoa known for its dramatic cliffs, lush rainforest, and role as a key site within the National Park of American Samoa.
-
C.
Maluʻu
Maluʻu is a coastal town in northern Malaita, Solomon Islands, serving as a local hub for transport and trade.
-
D.
Manuae
Manuae is an uninhabited coral atoll in the southern Cook Islands, known for its rich marine life and status as a wildlife sanctuary.
-
E.
Taha'a
Taha'a is a small island in the Society Islands of French Polynesia, renowned for its vanilla plantations, tranquil lagoons, and traditional Polynesian culture.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78045e448190961db0ca7692370e |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef9de9c88190b06c5076e5eabe3e |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:42 p.m.