Triple
T23321604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garfield, New Jersey |
E591164
|
entity |
| Predicate | hasSignificantPolishCommunity |
P151864
|
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: [Garfield, New Jersey, hasSignificantPolishCommunity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantPolishCommunity Context triple: [Garfield, New Jersey, hasSignificantPolishCommunity, true]
-
A.
hasSignificantJewishCommunity
Indicates that a place or entity possesses a notably large, influential, or historically important Jewish community.
-
B.
hasNeighboringLanguageCommunity
Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
-
C.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
D.
roleInPoland
Indicates that an entity holds or has held a specific role, position, or function within the context of Poland.
-
E.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.