Triple
T30681051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCO |
E781051
|
entity |
| Predicate | abbreviationForLocation |
P99168
|
FINISHED |
| Object | Texas |
—
|
NE NERFINISHED |
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: Texas | Statement: [TCO, abbreviationForLocation, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationForLocation Context triple: [TCO, abbreviationForLocation, Texas]
-
A.
cityAbbreviationOf
Indicates that one term is an official or commonly used abbreviated form of the name of a particular city.
-
B.
portAbbreviation
Indicates that one port is an abbreviated or shortened form of another port’s name or designation.
-
C.
areaAbbreviation
Indicates that one entity is an official abbreviated form or short code representing the named area of another entity.
-
D.
zoneAbbreviation
Indicates that one entity is the abbreviated or short-form representation of a particular zone associated with another entity.
-
E.
abbreviationOrShortForm
chosen
Indicates that one term is an abbreviation or shortened form of another term.
- F. None of above.
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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:32 p.m.