Triple
T29350968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Park Raceway site |
E744310
|
entity |
| Predicate | redevelopmentKnownFor |
P63843
|
FINISHED |
| Object | conversion of racetrack to industrial park |
—
|
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: conversion of racetrack to industrial park | Statement: [Hazel Park Raceway site, redevelopmentKnownFor, conversion of racetrack to industrial park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redevelopmentKnownFor Context triple: [Hazel Park Raceway site, redevelopmentKnownFor, conversion of racetrack to industrial park]
-
A.
redevelopmentLedBy
Indicates that a redevelopment process or project is directed, managed, or overseen by a particular agent or entity.
-
B.
redevelopmentFor
Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
-
C.
redevelopmentName
Indicates that an entity has a specific name assigned to its redevelopment project or process.
-
D.
redevelopmentInvolved
Indicates that an entity participated in or was associated with the process of redeveloping another entity, such as land, property, or infrastructure.
-
E.
redevelopmentTo
chosen
Indicates a transformation relationship where one entity is redeveloped, converted, or repurposed into another entity.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695ae22c81909ad4232e6847a078 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:06 p.m.