Triple
T9322130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manila–San Francisco |
E224292
|
entity |
| Predicate | IATACodeOrigin |
P418
|
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–San Francisco, IATACodeOrigin, MNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNL Context triple: [Manila–San Francisco, IATACodeOrigin, 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: IATACodeOrigin Context triple: [Manila–San Francisco, IATACodeOrigin, MNL]
-
A.
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.
-
B.
hasIATAcode
Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
-
C.
ICCCode
Indicates that an entity is associated with a specific International Criminal Court (ICC) code, identifying its classification or legal reference under ICC standards.
-
D.
IATAcode
chosen
Indicates the three-letter IATA airport or airline code assigned to the entity.
-
E.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7d70b1c8190a254f58efc370624 |
completed | April 4, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.