Triple
T24358415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingham–Moreton-in-Marsh section |
E613990
|
entity |
| Predicate | hasIntermediateFeatures |
P155911
|
FINISHED |
| Object | level crossings |
—
|
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: level crossings | Statement: [Kingham–Moreton-in-Marsh section, hasIntermediateFeatures, level crossings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntermediateFeatures Context triple: [Kingham–Moreton-in-Marsh section, hasIntermediateFeatures, level crossings]
-
A.
hasIntermediate
Indicates that there exists one or more entities that serve as a middle or transitional step between two related entities or stages.
-
B.
hasIntermediateArea
Indicates that there exists an area or region that lies between or connects two other areas in the relationship.
-
C.
usesIntermediateExtension
Indicates that one entity employs or relies on an intermediate extension layer or component to mediate or facilitate its interaction with another entity or system.
-
D.
hasPrimaryFeature
Indicates that an entity possesses a main or most characteristic feature that defines or distinguishes it.
-
E.
hasIntermediateCity
Indicates that there is a city located between two other places along a route or connection.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2934ac3fc819093f0edb8f3af0842 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.