Triple
T714532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rano Kau |
E14282
|
entity |
| Predicate | hasCliffHeight |
P18448
|
FINISHED |
| Object | up to about 300 metres |
—
|
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: up to about 300 metres | Statement: [Rano Kau, hasCliffHeight, up to about 300 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCliffHeight Context triple: [Rano Kau, hasCliffHeight, up to about 300 metres]
-
A.
hasCliff
Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
-
B.
hasCliffs
Indicates that something possesses or is characterized by the presence of cliffs.
-
C.
hasCliffsColor
Indicates that an entity (such as a cliff or cliff area) possesses a specific color attribute.
-
D.
hasClimbingHazard
Indicates that something presents a risk or danger specifically associated with climbing activities.
-
E.
hasHillSize
Indicates that something possesses or is characterized by a particular hill size.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5738e04819082eac673b3b7c4c2 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:36 p.m.