Triple
T29273298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgantown |
E742176
|
entity |
| Predicate | distanceToPittsburghPA |
P65211
|
FINISHED |
| Object | approximately 75 miles |
—
|
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: approximately 75 miles | Statement: [Morgantown, distanceToPittsburghPA, approximately 75 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPittsburghPA Context triple: [Morgantown, distanceToPittsburghPA, approximately 75 miles]
-
A.
distanceToPittsburgh
chosen
Indicates the spatial distance between a given entity’s location and the city of Pittsburgh.
-
B.
distanceToPittsburg
Indicates the spatial distance between a given entity and the location of Pittsburg.
-
C.
distanceToHarrisburg
Indicates the spatial distance between a given entity and the location of Harrisburg.
-
D.
distanceToPhiladelphia
Indicates the spatial distance between a given entity’s location and the city of Philadelphia.
-
E.
distanceToScranton
Indicates the spatial distance between a given entity and the location Scranton.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0076c0a5c4819088b17b95511b93ed |
completed | May 10, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_6a007638a67c81909c091335142260ab |
completed | May 10, 2026, 12:12 p.m. |
Created at: April 28, 2026, 12:49 p.m.