Triple
T7362427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maumere |
E169782
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Frans Seda Airport |
E661400
|
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: Frans Seda Airport | Statement: [Maumere, servedBy, Frans Seda Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frans Seda Airport Context triple: [Maumere, servedBy, Frans Seda Airport]
-
A.
Frans Seda Airport
chosen
Frans Seda Airport is a regional airport serving the town of Maumere on the island of Flores in Indonesia.
-
B.
Hewanorra International Airport
Hewanorra International Airport is the main international gateway to Saint Lucia, serving as the island’s primary hub for long-haul and regional flights.
-
C.
Hang Nadim International Airport
Hang Nadim International Airport is the main commercial airport serving Batam, Indonesia, known for its long runway and role as a regional aviation hub in the Riau Islands.
-
D.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
E.
Uytash Airport
Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15f218081909b5cc7a8cc695055 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ec20db88190b68542feaa9d66ef |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:06 p.m.