Triple
T2669667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murtala Muhammed International Airport |
E55718
|
entity |
| Predicate | openedAsInternationalAirport |
P41582
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Murtala Muhammed International Airport, openedAsInternationalAirport, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsInternationalAirport Context triple: [Murtala Muhammed International Airport, openedAsInternationalAirport, 1970s]
-
A.
openedAsCivilAirport
Indicates that a facility or location began operation specifically as a civil (non-military) airport.
-
B.
reopenedAsInternationalTerminal
Indicates that a terminal, previously closed or used differently, has been reopened specifically to function as an international terminal.
-
C.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
D.
openedAsMunicipalAirport
Indicates that an airport was initially established and began operation as a municipal (city- or town-operated) airport.
-
E.
openedAsICAOcode
Indicates that an airport or airfield began operations under the specified ICAO airport code.
- F. None of above. chosen
Provenance (4 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98d32ac8190b8edd9421b706532 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.