Triple
T2370082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninoy Aquino International Airport |
E46065
|
entity |
| Predicate | hasAirportCode |
P6089
|
FINISHED |
| Object | MNL |
E261759
|
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: MNL | Statement: [Ninoy Aquino International Airport, hasAirportCode, MNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNL Context triple: [Ninoy Aquino International Airport, hasAirportCode, MNL]
-
A.
MNL
chosen
MNL is the IATA airport code for Ninoy Aquino International Airport, the main international gateway serving Metro Manila in the Philippines.
-
B.
Malabon
Malabon is a coastal city in the northern part of Metro Manila in the Philippines, known for its historic districts, flood-prone waterways, and distinctive local cuisine.
-
C.
Mandaluyong
Mandaluyong is a highly urbanized city in the Philippines known as part of Metro Manila’s central business and commercial district.
-
D.
Mandaluyong, Metro Manila, Philippines
Mandaluyong, in Metro Manila, Philippines, is a highly urbanized city known as a major commercial and business hub that hosts the headquarters of the Asian Development Bank.
-
E.
Marikina
Marikina is a highly urbanized city in the Philippines known as the "Shoe Capital of the Philippines" for its long-standing shoe-making industry and is part of the Metro Manila region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76f5aec8190867d621e6849258c |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c81430819081654a90df17c5c0 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:56 p.m.