Triple
T19172989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taʻū Island |
E469371
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Lata Mountain |
—
|
NE NERFINISHED |
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: Lata Mountain | Statement: [Taʻū Island, highestPoint, Lata Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lata Mountain Context triple: [Taʻū Island, highestPoint, Lata Mountain]
-
A.
Lata Mountain
chosen
Lata Mountain is the tallest peak on the island of Taʻū in American Samoa, known for its lush tropical rainforest and dramatic volcanic terrain.
-
B.
Yudu Mountain
Yudu Mountain is a scenic natural area in Beijing’s Yanqing District, known for its mountainous landscapes and outdoor recreation opportunities.
-
C.
Ba Den Mountain
Ba Den Mountain is a prominent volcanic peak in southern Vietnam known for its religious significance, scenic views, and popular hiking and pilgrimage routes.
-
D.
Unaka Mountain
Unaka Mountain is a prominent peak along the Appalachian range on the Tennessee–North Carolina border, noted for its high elevation, dense forests, and scenic vistas.
-
E.
Bilu Mountain
Bilu Mountain is a prominent peak in Taiwan’s central highlands, known for its alpine scenery and challenging hiking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16544948190bd10ca7804dd27a5 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 10, 2026, 12:06 p.m.