Triple
T25676050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.B. Houston Golf Course |
E643807
|
entity |
| Predicate | locatedInParkSystem |
P108564
|
FINISHED |
| Object | Dallas park system |
—
|
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: Dallas park system | Statement: [L.B. Houston Golf Course, locatedInParkSystem, Dallas park system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInParkSystem Context triple: [L.B. Houston Golf Course, locatedInParkSystem, Dallas park system]
-
A.
isWithinParkSystem
chosen
Indicates that one area, facility, or feature is located inside and belongs to a designated park system.
-
B.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
C.
partOfChainOfParks
Indicates that an entity is one segment or component within a connected sequence of parks or green spaces.
-
D.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
E.
hasStateParkWithin
Indicates that one geographic or administrative area contains at least one state park located within its boundaries.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 21, 2026, 7:38 p.m.