Triple
T13155277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 13/31 |
E312567
|
entity |
| Predicate | locatedInCity |
P40
|
FINISHED |
| Object | Yao |
E6680
|
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: Yao | Statement: [Runway 13/31, locatedInCity, Yao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yao Context triple: [Runway 13/31, locatedInCity, Yao]
-
A.
Yao
Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
-
B.
Yao
Yao is a Chinese surname borne by many notable individuals, including figures in politics, sports, and academia.
-
C.
Yao
chosen
Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
-
D.
Yao
Yao are an ethnic minority people in southern China and Southeast Asia known for their distinct languages, traditional clothing, and mountain village communities.
-
E.
Yao
Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:12 p.m.