Triple
T35740086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest's Elbow |
E1033008
|
entity |
| Predicate | exitCharacteristic |
P183877
|
FINISHED |
| Object | requires good traction on exit |
—
|
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: requires good traction on exit | Statement: [Forest's Elbow, exitCharacteristic, requires good traction on exit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exitCharacteristic Context triple: [Forest's Elbow, exitCharacteristic, requires good traction on exit]
-
A.
stopsCharacteristic
Indicates that one entity has the characteristic or property of stopping or causing a stop in another entity or process.
-
B.
transitionCharacteristic
Indicates a relationship where an entity is characterized by how it changes state or condition over time or between phases.
-
C.
exitTo
Indicates that one location or entity serves as a passage or route leading directly to another location or entity.
-
D.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
E.
cordExit
Indicates that a cord or cable leads out from, terminates at, or exits a particular object or location.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:06 p.m.