Triple
T34124906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Whitley, Indiana |
E875246
|
entity |
| Predicate | hasCommunityDescription |
P205331
|
FINISHED |
| Object | small Midwestern town |
—
|
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 Midwestern town | Statement: [South Whitley, Indiana, hasCommunityDescription, small Midwestern town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityDescription Context triple: [South Whitley, Indiana, hasCommunityDescription, small Midwestern town]
-
A.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
B.
hasCommunityGroup
Indicates that an entity is associated with, or belongs to, a specific community group.
-
C.
hasCommunityContext
Indicates that something exists or occurs within, or is influenced by, a particular community’s social, cultural, or environmental context.
-
D.
hasCommunitySupport
Indicates that an entity is backed, endorsed, or positively received by a community or group of users.
-
E.
hasCommunityMedia
Indicates that an entity possesses, operates, or is associated with media outlets or channels that are created for and/or by a specific community.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:53 a.m.