Triple
T13145501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feni group |
E312324
|
entity |
| Predicate | hasLargestIsland |
P756
|
FINISHED |
| Object | Ambitle |
E1024261
|
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: Ambitle | Statement: [Feni group, hasLargestIsland, Ambitle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambitle Context triple: [Feni group, hasLargestIsland, Ambitle]
-
A.
Ambitle
chosen
Ambitle is a volcanic island in the Feni Islands of Papua New Guinea, known for its geothermal activity and lush tropical environment.
-
B.
Ambush
"Ambush" is a 1950 American Western film starring Robert Taylor and John Hodiak, centered on a cavalry mission to rescue a woman kidnapped by Apaches.
-
C.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
D.
Shutter
Shutter is a 2008 American supernatural horror film about a couple haunted by mysterious images in photographs, starring Joshua Jackson.
-
E.
Guarda
Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff0c88dc8190bcb83482d6df39b5 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:10 p.m.