Triple
T8175298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itanium |
E190924
|
entity |
| Predicate | laterCodename |
P47516
|
FINISHED |
| Object | Tukwila |
E62842
|
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: Tukwila | Statement: [Itanium, laterCodename, Tukwila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tukwila Context triple: [Itanium, laterCodename, Tukwila]
-
A.
Tukwila
chosen
Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
-
B.
Renton
Renton is a small town in West Dunbartonshire, Scotland, situated on the River Leven between Dumbarton and Alexandria.
-
C.
Renton
Renton is a suburban city in Washington State located just southeast of Seattle, known for its Boeing facilities and position at the south end of Lake Washington.
-
D.
Puyallup
Puyallup is a city in Washington State known for its annual Washington State Fair and its location in the Puyallup River Valley southeast of Tacoma.
-
E.
Kirkland
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7266bc148190984060b7b95effb5 |
completed | March 31, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf27abf324819098bd6ecfd5a4d8cc |
completed | April 3, 2026, 2:36 a.m. |
Created at: March 30, 2026, 5:40 p.m.