Triple
T35746025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Park, Texas |
E1033182
|
entity |
| Predicate | parksSystem |
P46519
|
FINISHED |
| Object | Highland Park Parks and Recreation Department |
—
|
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: Highland Park Parks and Recreation Department | Statement: [Highland Park, Texas, parksSystem, Highland Park Parks and Recreation Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parksSystem Context triple: [Highland Park, Texas, parksSystem, Highland Park Parks and Recreation Department]
-
A.
parksManagedBy
chosen
Indicates that a park is administered, overseen, or operated by a particular managing entity or organization.
-
B.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
C.
stateParkSystem
Indicates that an entity is part of, managed by, or associated with a state-level park system or network of state parks.
-
D.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
E.
hasProvinceParkSystem
Indicates that a province maintains and administers an official system of provincial parks.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a193bec481909a83b202d36d5e3d |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.