Triple
T7541994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omnitrans |
E178300
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Colton |
E167706
|
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: Colton | Statement: [Omnitrans, operatesIn, Colton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colton Context triple: [Omnitrans, operatesIn, Colton]
-
A.
Colton
chosen
Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
-
B.
Kolton Stewart
Kolton Stewart is a Canadian actor and musician known for his roles in film and television, including appearances in fantasy and family-oriented productions.
-
C.
Benjamin Keough
Benjamin Keough was the son of Lisa Marie Presley and the grandson of Elvis Presley, known for his strong resemblance to his famous grandfather.
-
D.
Jack Colton
Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
-
E.
Jordan Dalton
Jordan Dalton is the wife of NFL quarterback Andy Dalton and is known for her involvement in charitable and community initiatives alongside him.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f18e4dc81909ecd73b2b06b8d9c |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.