Triple
T24416612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirk Tunnel |
E615599
|
entity |
| Predicate | hasTowpathAccess |
P27267
|
FINISHED |
| Object | both portals |
—
|
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: both portals | Statement: [Chirk Tunnel, hasTowpathAccess, both portals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTowpathAccess Context triple: [Chirk Tunnel, hasTowpathAccess, both portals]
-
A.
hasTowpath
chosen
Indicates that a waterway or canal is accompanied by a path running alongside it, typically used for towing boats.
-
B.
hasAccessRoadsTo
Indicates that there exist one or more roads providing direct vehicular access from one location or site to another.
-
C.
hasHikingAccess
Indicates that one location or entity provides access or a connection to hiking trails or hiking areas.
-
D.
hasValleyAccessTo
Indicates that one location can be reached from another specifically by traveling through a valley or valley-based route.
-
E.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
- 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.