Triple
T14948436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Do |
E372727
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | AIRDO |
E651176
|
NE FINISHED |
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: AIRDO | Statement: [Air Do, brandName, AIRDO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIRDO Context triple: [Air Do, brandName, AIRDO]
-
A.
AIRDO
chosen
AIRDO is a Japanese regional airline based in Hokkaido that operates domestic flights connecting Hokkaido with major cities across Japan.
-
B.
Aird
Aird is a historic district in the Scottish Highlands traditionally associated with Clan Fraser.
-
C.
airag
Airag is a traditional Mongolian fermented mare’s milk drink, mildly alcoholic and sour, commonly consumed during cultural events and daily life on the steppe.
-
D.
Airok
Airok is a small settlement located on Ailinglaplap Atoll in the Marshall Islands.
-
E.
Airai
Airai is a state in the Republic of Palau known for hosting the country’s main international airport and serving as a key gateway to the islands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e986dfc8190a5cf363dabe6bdef |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.