Triple
T17841586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope, Arkansas |
E445539
|
entity |
| Predicate | distanceToTexarkana |
P129383
|
FINISHED |
| Object | about 30 miles east |
—
|
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: about 30 miles east | Statement: [Hope, Arkansas, distanceToTexarkana, about 30 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTexarkana Context triple: [Hope, Arkansas, distanceToTexarkana, about 30 miles east]
-
A.
distanceToLittleRock
Indicates the spatial distance between a given entity and the location of Little Rock.
-
B.
distanceFromDallas
Indicates the measured distance between a given place or entity and the city of Dallas.
-
C.
distanceToFortWorth_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and Fort Worth.
-
D.
distanceToFortWorth
Indicates the spatial distance between a given location and the city of Fort Worth.
-
E.
distanceToHouston
Indicates the physical distance between a given location or entity and the city of Houston.
- F. None of above. chosen
Provenance (4 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2c3fa8819089bfbeb807a25376 |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:16 a.m.