Triple
T8744378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Narrows hike |
E207786
|
entity |
| Predicate | bottomUpDistance |
P65220
|
FINISHED |
| Object | approximately 9.4 miles round trip to Big Springs |
—
|
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 9.4 miles round trip to Big Springs | Statement: [The Narrows hike, bottomUpDistance, approximately 9.4 miles round trip to Big Springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottomUpDistance Context triple: [The Narrows hike, bottomUpDistance, approximately 9.4 miles round trip to Big Springs]
-
A.
stoppedDistanceBelowSummit
Indicates that an entity came to a stop at a location that is a certain distance short of reaching the summit.
-
B.
distanceToTerminal
chosen
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
E.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d72e47c819099540d062d35ebd5 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:38 p.m.