Triple
T20941664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figari–Sud Corse Airport |
E515735
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Bonifacio |
—
|
NE NERFINISHED |
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: Bonifacio | Statement: [Figari–Sud Corse Airport, cityServed, Bonifacio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonifacio Context triple: [Figari–Sud Corse Airport, cityServed, Bonifacio]
-
A.
Bonifacio
chosen
Bonifacio is a historic fortified town perched on dramatic limestone cliffs at the southern tip of Corsica, overlooking the Strait of Bonifacio between the island and Sardinia.
-
B.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
C.
Niceto
Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
-
D.
Alfonso Oiterong
Alfonso Oiterong was a Palauan politician who briefly served as the country's president during its early years of independence.
-
E.
Silvestre Bello III
Silvestre Bello III is a Filipino lawyer and politician who has served in various high-ranking government positions, including as Secretary of Labor and Employment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f955f0148190ae42278ad5c0f363 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.