Triple
T8280010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarama Village |
E193646
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Tarama Airport
Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
|
E727805
|
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: Tarama Airport | Statement: [Tarama Village, hasAirport, Tarama Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarama Airport Context triple: [Tarama Village, hasAirport, Tarama Airport]
-
A.
Erkilet International Airport
Erkilet International Airport is a public airport serving the city of Kayseri in central Turkey, handling both domestic and international flights.
-
B.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
C.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
D.
Almaza Airport
Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
-
E.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
- 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: Tarama Airport Triple: [Tarama Village, hasAirport, Tarama Airport]
Generated description
Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarama Airport Target entity description: Tarama Airport is a small regional airport serving the remote Tarama Island in Okinawa Prefecture, Japan, providing essential air links for local residents and visitors.
-
A.
Erkilet International Airport
Erkilet International Airport is a public airport serving the city of Kayseri in central Turkey, handling both domestic and international flights.
-
B.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
C.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
D.
Almaza Airport
Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
-
E.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ece5708190a1569bcfad5b3644 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6ca48308190bd7a6c84d5954279 |
completed | April 2, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69cdcc8439cc8190b00ce9b0781d0544 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcdd1a0c08190aa15e665a38945e7 |
completed | April 2, 2026, 2 a.m. |
Created at: March 30, 2026, 5:51 p.m.