Triple
T14310369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verwood |
E354810
|
entity |
| Predicate | distanceToNewForest |
P113711
|
FINISHED |
| Object | approximately 5 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 5 miles | Statement: [Verwood, distanceToNewForest, approximately 5 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNewForest Context triple: [Verwood, distanceToNewForest, approximately 5 miles]
-
A.
locatedInForest
Indicates that an entity is situated within the boundaries of a forest.
-
B.
distanceToSavannah
Indicates the measured or estimated spatial distance between a given entity and the savannah.
-
C.
distanceToSequoiaNationalParkEntrance
Indicates the physical distance between a given location and the entrance of Sequoia National Park.
-
D.
hasNearbyForestType
Indicates that one entity is located close to, or in the vicinity of, a forest of a specified type.
-
E.
nearNationalForest
Indicates that one entity is located close to, but not necessarily inside, a designated national forest area.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:12 a.m.