Triple
T36022639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Spring (Te Waihou Walkway) |
E1042029
|
entity |
| Predicate | walkwayLength |
P184339
|
FINISHED |
| Object | approximately 4.7 km one way |
—
|
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 4.7 km one way | Statement: [Blue Spring (Te Waihou Walkway), walkwayLength, approximately 4.7 km one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: walkwayLength Context triple: [Blue Spring (Te Waihou Walkway), walkwayLength, approximately 4.7 km one way]
-
A.
hasWalkwayWidth
Indicates the width measurement of a walkway in the relationship between a walkway and its specified dimension.
-
B.
walkwayType
Indicates the specific kind or classification of a walkway associated with an entity (e.g., sidewalk, footpath, boardwalk).
-
C.
hasWalkwayShape
Indicates that a walkway possesses a particular geometric or structural shape or configuration.
-
D.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
E.
PaivaWalkwaysLength
Indicates the total measured length of the Paiva Walkways route.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.