Triple
T14039920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainhill |
E337816
|
entity |
| Predicate | distanceToStHelens |
P112594
|
FINISHED |
| Object | approximately 4 miles south |
—
|
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 4 miles south | Statement: [Rainhill, distanceToStHelens, approximately 4 miles south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToStHelens Context triple: [Rainhill, distanceToStHelens, approximately 4 miles south]
-
A.
distanceFromVesuvius
Indicates the spatial distance between an entity and Mount Vesuvius.
-
B.
distanceToGreymouth
Indicates the spatial distance between a given entity or location and the town of Greymouth.
-
C.
distanceToOldFaithfulGeyser
Indicates the spatial distance between a given entity and the Old Faithful Geyser.
-
D.
distanceToGreatSmokyMountainsNationalPark
Indicates the spatial distance between an entity and Great Smoky Mountains National Park.
-
E.
distanceToScafellPikeSummit
Indicates the measured or estimated distance from an entity to the summit of Scafell Pike.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.