Triple
T10348404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Kendall College |
E243813
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Tulsa |
E185942
|
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: Tulsa | Statement: [Henry Kendall College, city, Tulsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulsa Context triple: [Henry Kendall College, city, Tulsa]
-
A.
Tulsa
chosen
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
-
B.
Oklahoma City
Oklahoma City is the capital and largest city of the U.S. state of Oklahoma, known for its energy industry, cowboy culture, and role as a major regional economic and transportation hub.
-
C.
Tulsa metropolitan area
The Tulsa metropolitan area is a regional urban and economic hub in northeastern Oklahoma centered on the city of Tulsa and its surrounding communities.
-
D.
El Reno
El Reno is a small city in central Oklahoma known for its historic Route 66 ties, annual fried onion burger festival, and role as a regional agricultural and transportation hub.
-
E.
Lawton
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e945d51881908dd2af6c78344c9b |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd93b506c8190bbff63903770355a |
completed | April 12, 2026, 5:41 p.m. |
Created at: April 6, 2026, 11:56 a.m.