Triple
T36943289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu–Davao |
E913833
|
entity |
| Predicate | primaryAirportAtOrigin |
P205655
|
FINISHED |
| Object | Mactan–Cebu International Airport |
E94573
|
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: Mactan–Cebu International Airport | Statement: [Cebu–Davao, primaryAirportAtOrigin, Mactan–Cebu International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAirportAtOrigin Context triple: [Cebu–Davao, primaryAirportAtOrigin, Mactan–Cebu International Airport]
-
A.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
-
B.
originAirportHub
Indicates that the referenced airport serves as a primary hub or main operating base for the associated airline or carrier.
-
C.
originAirportICAO
Indicates the airport, identified by its ICAO code, from which a flight or journey departs.
-
D.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
-
E.
airportNameOrigin
Indicates the name of the airport that serves as the origin point in a trip or flight-related relationship.
- F. None of above. chosen
Provenance (5 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f69fb8e648190b6044aae2aea6dbc |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.