Triple
T17288442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pinnacles (Coromandel) |
E419717
|
entity |
| Predicate | PinnaclesHutCapacityApprox |
P126822
|
FINISHED |
| Object | 80 bunks |
—
|
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: 80 bunks | Statement: [The Pinnacles (Coromandel), PinnaclesHutCapacityApprox, 80 bunks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PinnaclesHutCapacityApprox Context triple: [The Pinnacles (Coromandel), PinnaclesHutCapacityApprox, 80 bunks]
-
A.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
B.
hasMountainHutsNearby
Indicates that a location or geographic feature has one or more mountain huts situated in its nearby surroundings.
-
C.
numberOfCabins
Indicates the total count of cabins associated with a given entity.
-
D.
typicalHomeCapacity
Indicates the usual or standard number of occupants that a home is designed or expected to accommodate.
-
E.
numberOfTents
Indicates the quantity of tents associated with a given entity or context.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.