Triple
T24512587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northala Fields |
E606266
|
entity |
| Predicate | materialUsedForHills |
P92449
|
FINISHED |
| Object | construction spoil |
—
|
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: construction spoil | Statement: [Northala Fields, materialUsedForHills, construction spoil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedForHills Context triple: [Northala Fields, materialUsedForHills, construction spoil]
-
A.
usesMaterialForMounds
chosen
Indicates that an entity constructs or forms mounds using a specified material.
-
B.
mountainComposition
Indicates the material or substance that makes up or predominates in a given mountain.
-
C.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
D.
hillType
Indicates the specific classification or category of a hill based on its form, characteristics, or context.
-
E.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
- 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_69e2c4c725148190a4e41577c5cb409c |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.