Triple
T30915682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan–Philippines air travel market |
E787571
|
entity |
| Predicate | mainJapaneseGateway |
P170291
|
FINISHED |
| Object | Tokyo Narita International Airport |
—
|
NE NERFINISHED |
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: Tokyo Narita International Airport | Statement: [Japan–Philippines air travel market, mainJapaneseGateway, Tokyo Narita International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainJapaneseGateway Context triple: [Japan–Philippines air travel market, mainJapaneseGateway, Tokyo Narita International Airport]
-
A.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
-
B.
JapaneseAdvantage
Indicates that one party holds a comparative advantage or superior position specifically in a Japanese context (e.g., language, market, culture, or environment) relative to another.
-
C.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
-
D.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
-
E.
japaneseOnReading
Indicates the on-yomi (Sino-Japanese) pronunciation associated with a given Japanese kanji or term.
- F. None of above. chosen
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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6928720ec8190992ea663647ca819 |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:51 p.m.