Triple
T16458425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gull Force |
E399742
|
entity |
| Predicate | deployedTo |
P12960
|
FINISHED |
| Object | Ambon |
E169607
|
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: Ambon | Statement: [Gull Force, deployedTo, Ambon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambon Context triple: [Gull Force, deployedTo, Ambon]
-
A.
Ambon
chosen
Ambon is a major city and port in eastern Indonesia, known as an administrative, economic, and cultural hub in the Maluku region.
-
B.
Palu
Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
-
C.
Palu
Palu is a historic town and district in eastern Turkey known for its ancient ruins and location along the Murat River in Elazığ Province.
-
D.
Bitung
Bitung is a port city in North Sulawesi, Indonesia, known as a major gateway for maritime trade and access to the rich marine biodiversity of the Lembeh Strait.
-
E.
Ternate
Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.