Triple
T9241612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manila–Tokyo |
E222071
|
entity |
| Predicate | hasIATACodeOrigin |
P2569
|
FINISHED |
| Object | MNL |
E261759
|
NE FINISHED |
How this triple was built (3 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: [Manila–Tokyo, hasIATACodeOrigin, MNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNL Context triple: [Manila–Tokyo, hasIATACodeOrigin, 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.
Dondon
Dondon is a historic commune in northern Haiti known for its colonial-era architecture, coffee production, and nearby cave systems with pre-Columbian rock art.
-
C.
World Trade Center Metro Manila
World Trade Center Metro Manila is a major exhibition and convention center in Pasay City that hosts trade shows, conferences, and large-scale events.
-
D.
Metro Cebu
Metro Cebu is the main metropolitan area of Cebu in the Philippines, encompassing Cebu City and its surrounding cities and municipalities as a major economic, cultural, and transportation hub in the Visayas region.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIATACodeOrigin Context triple: [Manila–Tokyo, hasIATACodeOrigin, MNL]
-
A.
hasIATAcode
chosen
Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
-
B.
associatedWithIATATypeCode
Indicates that one entity is linked to or characterized by a specific IATA type code that classifies its role or function in air transport.
-
C.
hasAirportCodeType
Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
-
D.
hasIATAOverlap
Indicates that two entities share at least one overlapping or identical IATA code designation.
-
E.
hasICAOComplement
Indicates that one entity serves as an ICAO-standard complement or additional code/information corresponding to another entity’s primary ICAO designation.
- F. None of above.
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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03ea9d90819096f9ca5321dffd56 |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bca80a481908038fee287989a54 |
completed | April 4, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.