Triple
T7103156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tambolaka Airport |
E165508
|
entity |
| Predicate | providesConnectionTo |
P845
|
FINISHED |
| Object | Denpasar |
E119553
|
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: Denpasar | Statement: [Tambolaka Airport, providesConnectionTo, Denpasar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denpasar Context triple: [Tambolaka Airport, providesConnectionTo, Denpasar]
-
A.
Denpasar
chosen
Denpasar is the largest city and main economic and cultural hub on the Indonesian island of Bali.
-
B.
Mataram
Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
-
C.
Mataram
Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
-
D.
Denpasar Utara
Denpasar Utara is a northern administrative district of Denpasar, the capital city of Bali, Indonesia.
-
E.
Bajawa
Bajawa is a small highland town in central Flores, Indonesia, known for its cool climate, traditional Ngada culture, and nearby volcanic and megalithic sites.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58a0a2c819088e0c8874fb4491f |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cad60788190bb2b17d1c3f8e1cc |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.