Triple
T13441422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakutat Airport |
E320369
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
PAYA
PAYA is the ICAO airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
|
E1040967
|
NE FINISHED |
How this triple was built (4 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: PAYA | Statement: [Yakutat Airport, hasICAOCode, PAYA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAYA Context triple: [Yakutat Airport, hasICAOCode, PAYA]
-
A.
PAYCO
PAYCO is the youth wing of the Pan Africanist Congress of Azania, advocating for Pan-Africanism and the political, social, and economic empowerment of young people in South Africa.
-
B.
PAYGO
PAYGO is a U.S. federal budget rule that requires new spending or tax changes to be offset so they do not increase the federal deficit.
-
C.
Paypay
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
D.
PayPay
PayPay is a Japanese mobile payment and digital wallet service widely used for cashless transactions across Japan.
-
E.
Paymer
Paymer is a surname most notably associated with American character actor David Paymer, known for his extensive work in film and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PAYA Triple: [Yakutat Airport, hasICAOCode, PAYA]
Generated description
PAYA is the ICAO airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAYA Target entity description: PAYA is the ICAO airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
-
A.
PAYCO
PAYCO is the youth wing of the Pan Africanist Congress of Azania, advocating for Pan-Africanism and the political, social, and economic empowerment of young people in South Africa.
-
B.
PAYGO
PAYGO is a U.S. federal budget rule that requires new spending or tax changes to be offset so they do not increase the federal deficit.
-
C.
Paypay
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
D.
PayPay
PayPay is a Japanese mobile payment and digital wallet service widely used for cashless transactions across Japan.
-
E.
Paymer
Paymer is a surname most notably associated with American character actor David Paymer, known for his extensive work in film and television.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399421908190a7750e37c89a73f6 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b5f6d60819099f405d5d97e68e9 |
completed | May 3, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73f549af081908ed018a18b3f31f7 |
completed | May 3, 2026, 12:28 p.m. |
Created at: April 9, 2026, 9:40 p.m.