Triple
T30273156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Rollingwood |
E769858
|
entity |
| Predicate | characterizesCommunityAs |
P142109
|
FINISHED |
| Object | small community |
—
|
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: small community | Statement: [City of Rollingwood, characterizesCommunityAs, small community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesCommunityAs Context triple: [City of Rollingwood, characterizesCommunityAs, small community]
-
A.
definesCommunityAs
Indicates that one entity formally specifies or establishes the definition, boundaries, or criteria of a particular community in relation to another entity.
-
B.
communityTrait
chosen
Indicates that a group or community shares or is characterized by a particular trait or attribute.
-
C.
servesCommunityDescribedAs
Indicates that an entity provides services or support to a community characterized or described in a particular way.
-
D.
hasLocalCommunityCharacter
Indicates that something possesses qualities or attributes typical of a specific local community or neighborhood.
-
E.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 29, 2026, 7:44 p.m.