Triple
T33877722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanbury |
E868399
|
entity |
| Predicate | distanceToHaworth |
P206712
|
FINISHED |
| Object | approximately 2 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 2 miles | Statement: [Stanbury, distanceToHaworth, approximately 2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHaworth Context triple: [Stanbury, distanceToHaworth, approximately 2 miles]
-
A.
distanceFromHo
Indicates the spatial distance measured from a specified reference point or origin labeled "Ho" to another entity.
-
B.
distanceFromHawaii
Indicates the measured spatial distance between a given entity and the location of Hawaii.
-
C.
distanceToHastings
Indicates the measured spatial distance between a given entity and the location of Hastings.
-
D.
distanceFromTahiti
Indicates the measured spatial distance between a given location or object and Tahiti.
-
E.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:48 a.m.