Triple
T1108715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E25543
|
entity | |
| Predicate | communityUnit |
P21358
|
FINISHED |
| Object | subreddit |
—
|
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: subreddit | Statement: [Reddit, communityUnit, subreddit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityUnit Context triple: [Reddit, communityUnit, subreddit]
-
A.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
B.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
C.
communityAreaNumber
Indicates the specific numbered community area to which an entity is assigned or associated.
-
D.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
E.
associatedCommunity
chosen
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b749e2a881909ef28745a7d2d917 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.