Triple
T36902581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derreen House |
E912079
|
entity |
| Predicate | hasPathNetworkLength |
P18592
|
FINISHED |
| Object | approximately 12 kilometres |
—
|
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 12 kilometres | Statement: [Derreen House, hasPathNetworkLength, approximately 12 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPathNetworkLength Context triple: [Derreen House, hasPathNetworkLength, approximately 12 kilometres]
-
A.
hasTrailNetworkLength
Indicates the total length of a trail network associated with an entity.
-
B.
networkLength
chosen
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
C.
pathLength
Indicates the measured distance or length of a path connecting two points or locations.
-
D.
supportsPathLengthUpTo
Indicates that an entity can accommodate or function correctly with paths whose length does not exceed a specified maximum value.
-
E.
hasWalkingPathLength
Indicates the length or distance of a designated walking path associated with an entity.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a002dd4066c8190945a09ed82f44f3f |
completed | May 10, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_6a002b141f4081909999e14988105f3a |
completed | May 10, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:13 p.m.