Triple
T27453402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Lake |
E692512
|
entity |
| Predicate | isUrbanParkFeatureOf |
P1495
|
FINISHED |
| Object | Austin, 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: Austin, Texas | Statement: [Town Lake, isUrbanParkFeatureOf, Austin, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanParkFeatureOf Context triple: [Town Lake, isUrbanParkFeatureOf, Austin, Texas]
-
A.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
-
B.
isUrbanParkSystem
Indicates that an entity constitutes or belongs to a designated system or network of urban parks within a city or metropolitan area.
-
C.
isUrbanOpenSpace
Indicates that a given area functions as an open, publicly accessible space within an urban environment.
-
D.
hasUrbanFeature
chosen
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
E.
isUrbanParkAdjacent
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dc7c830819092e3f52733c8f60e |
completed | May 2, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:48 p.m.