Triple
T4534981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Antão |
E107385
|
entity |
| Predicate | hasAirportStatus |
P48854
|
FINISHED |
| Object | no operating airport |
—
|
LITERAL 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: no operating airport | Statement: [Santo Antão, hasAirportStatus, no operating airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirportStatus Context triple: [Santo Antão, hasAirportStatus, no operating airport]
-
A.
airportStatus
chosen
Indicates the current operational condition or state of an airport (e.g., open, closed, delayed, restricted).
-
B.
formerAirportStatus
Indicates that an entity previously held the status of an airport but no longer functions as one.
-
C.
cityTerminalStatus
Indicates the operational or functional status of a city’s terminal (such as an airport, bus, or train terminal) within a given context or system.
-
D.
IATAStatus
Indicates the current operational or membership status of an entity with respect to the International Air Transport Association (IATA).
-
E.
hasStationAtAirport
Indicates that an organization or service operates a station or facility located at a specific airport.
- F. None of above.
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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a2301c8190aa59280a16750156 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.