Triple
T4264945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolate Hills |
E96802
|
entity |
| Predicate | hasMaximumEstimatedNumberOfHills |
P40303
|
FINISHED |
| Object | around 1776 |
—
|
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: around 1776 | Statement: [Chocolate Hills, hasMaximumEstimatedNumberOfHills, around 1776]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumEstimatedNumberOfHills Context triple: [Chocolate Hills, hasMaximumEstimatedNumberOfHills, around 1776]
-
A.
hasHillSize
Indicates that something possesses or is characterized by a particular hill size.
-
B.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
C.
hasNearbyHillRange
Indicates that one entity is located close to or within the vicinity of a range of hills associated with the other entity.
-
D.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
E.
hasSummitCountApprox
chosen
Indicates that an entity is associated with an approximate number of summits or peak ascents.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fcad0a881908e1cac0a6da5a321 |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.