Triple
T11043737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Monterrey International Airport) |
E261084
|
entity |
| Predicate | icaoCodeOfAirportServed |
P419
|
FINISHED |
| Object | MMMY |
—
|
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: MMMY | Statement: [Terminal 2 (Monterrey International Airport), icaoCodeOfAirportServed, MMMY]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: icaoCodeOfAirportServed Context triple: [Terminal 2 (Monterrey International Airport), icaoCodeOfAirportServed, MMMY]
-
A.
airportServed
Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
-
B.
ICAOcode
chosen
Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
-
C.
airportCodeFAA
Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
-
D.
airportServesAs
Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
-
E.
IATAcode
Indicates the three-letter IATA airport or airline code assigned to the entity.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982d42bc81908ac10f54a7b43fb7 |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.