Triple
T9881978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading Fightin Phils |
E180829
|
entity |
| Predicate | hasRoadUniformColor |
P38407
|
FINISHED |
| Object | gray |
—
|
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: gray | Statement: [Reading Fightin Phils, hasRoadUniformColor, gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadUniformColor Context triple: [Reading Fightin Phils, hasRoadUniformColor, gray]
-
A.
roadUniformColor
chosen
Indicates that the entire road surface shares a single, consistent color throughout.
-
B.
hasRoadStandard
Indicates that a road or roadway segment conforms to, or is governed by, a specific road design, construction, or operational standard.
-
C.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
D.
hasRoadNumberStatus
Indicates that a road or route is associated with a specific status regarding its assigned road number (e.g., active, reserved, retired, or provisional).
-
E.
hasRoadConfiguration
Indicates that there exists a specific arrangement or layout of roads associated with or characterizing an 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb418417c8190b00dea8916a2e102 |
completed | April 2, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:38 p.m.