Triple
T24416594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirk Tunnel |
E615599
|
entity |
| Predicate | towpathLocation |
P27267
|
FINISHED |
| Object | north side |
—
|
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: north side | Statement: [Chirk Tunnel, towpathLocation, north side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towpathLocation Context triple: [Chirk Tunnel, towpathLocation, north side]
-
A.
hasTowpath
chosen
Indicates that a waterway or canal is accompanied by a path running alongside it, typically used for towing boats.
-
B.
numberOfTowpaths
Indicates the quantity of towpaths associated with or present along a given entity or feature.
-
C.
pathTo
Indicates that one entity serves as a route, way, or means of reaching, accessing, or moving to another entity.
-
D.
tunnelLocation
Indicates that one entity is the location or site where a tunnel is situated or passes through in relation to another entity.
-
E.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.