Triple
T5452214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giga Texas |
E122394
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Giga Austin |
E122395
|
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: Giga Austin | Statement: [Giga Texas, alsoKnownAs, Giga Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giga Austin Context triple: [Giga Texas, alsoKnownAs, Giga Austin]
-
A.
Giga Austin
chosen
Giga Austin is Tesla's large-scale electric vehicle and battery manufacturing plant located near Austin, Texas.
-
B.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
C.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
-
D.
Troy Glasgow
Troy Glasgow is a British actor known for his work in television, film, and theatre, including roles in series such as Doctor Who.
-
E.
Loria
Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dfec248190af6f9c793a99c34c |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413d25008190b100c8297d6063b1 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.