Triple
T23063776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio, Texas |
E574976
|
entity |
| Predicate | rankInPopulationInTexas |
P1449
|
FINISHED |
| Object | second-largest city in Texas |
—
|
LITERAL 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: second-largest city in Texas | Statement: [San Antonio, Texas, rankInPopulationInTexas, second-largest city in Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInPopulationInTexas Context triple: [San Antonio, Texas, rankInPopulationInTexas, second-largest city in Texas]
-
A.
populationRankInTexas
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within Texas.
-
B.
populationRankInTexasCDPs
Indicates the relative ordering of census-designated places in Texas based on the size of their populations.
-
C.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
-
D.
populationRankInTexasPanhandle
Indicates the relative position of an entity in terms of population size compared to other entities within the Texas Panhandle region.
-
E.
heldRankInTexas
Indicates that a person held a specific official rank, title, or position within the state of Texas.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a1f49c81909db7e0473ec2bb1b |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.