Triple
T7470060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabasas, California, United States |
E176477
|
entity |
| Predicate | hasGatedCommunities |
P76431
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Calabasas, California, United States, hasGatedCommunities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGatedCommunities Context triple: [Calabasas, California, United States, hasGatedCommunities, true]
-
A.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
B.
hasTargetCommunity
Indicates that something is specifically intended for, directed toward, or designed to serve a particular community or group.
-
C.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
-
D.
hasRemoteCommunities
Indicates that an entity maintains or is associated with communities located in distant or geographically isolated areas.
-
E.
isGatewayCommunityFor
Indicates that one community serves as an entry point, access hub, or primary connection for another community or larger region.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f845e081908117783ff1e63e23 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.