Triple
T37623069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Reach |
E936123
|
entity |
| Predicate | belongsToPlanningConcept |
P56805
|
FINISHED |
| Object | village concept of Columbia |
—
|
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: village concept of Columbia | Statement: [Long Reach, belongsToPlanningConcept, village concept of Columbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPlanningConcept Context triple: [Long Reach, belongsToPlanningConcept, village concept of Columbia]
-
A.
hasPlanningAssociation
Indicates a relationship where one entity is involved with, linked to, or considered in the planning or preparation activities of another entity.
-
B.
hasPlanningConcept
chosen
Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
-
C.
hasRelatedPlan
Indicates that one entity is associated with another entity through a plan that is relevant or connected to it.
-
D.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
E.
hasConceptualInvolvementBy
Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
Created at: May 3, 2026, 4:18 p.m.