Triple
T4652085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flores Sea |
E102318
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Alor |
E170632
|
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: Alor | Statement: [Flores Sea, borderedBy, Alor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alor Context triple: [Flores Sea, borderedBy, Alor]
-
A.
Alor
chosen
Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
-
B.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
-
C.
Azor
Azor is a small suburban town in central Israel, located just southeast of Tel Aviv.
-
D.
Alamagan
Alamagan is a small, sparsely inhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
E.
Samal
Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd630343f88190954d19fcd18a5864 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0374967c8190b77bcd3ea1c4d59d |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.