Triple
T12036550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio–Austin |
E286553
|
entity |
| Predicate | containsUrbanArea |
P11388
|
FINISHED |
| Object | Live Oak |
E422424
|
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: Live Oak | Statement: [San Antonio–Austin, containsUrbanArea, Live Oak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Oak Context triple: [San Antonio–Austin, containsUrbanArea, Live Oak]
-
A.
Live Oak
chosen
Live Oak is a suburban city in the San Antonio metropolitan area of south-central Texas, known for its residential communities and retail centers.
-
B.
Live Oak
Live Oak is a small city in Sutter County, California, known for its agricultural surroundings in the Sacramento Valley.
-
C.
Live Oak
Live Oak is a small city in Suwannee County, Florida, known for its rural character and proximity to the Suwannee River.
-
D.
Franklin Tree
Franklin Tree is a notable giant sequoia located in the Giant Forest of California’s Sequoia National Park.
-
E.
Torreya
Torreya is a small genus of evergreen coniferous trees in the yew family, known for their hard, durable wood and large, nut-like seeds.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.