Triple
T2728322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zionist organizations |
E60248
|
entity |
| Predicate | hasPrimaryConstituency |
P37822
|
FINISHED |
| Object | Jewish people |
—
|
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: Jewish people | Statement: [Zionist organizations, hasPrimaryConstituency, Jewish people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryConstituency Context triple: [Zionist organizations, hasPrimaryConstituency, Jewish people]
-
A.
primaryConstituency
Indicates the main electoral district or constituency that an entity (typically a politician or representative) officially represents.
-
B.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
C.
coreConstituency
chosen
Indicates that one entity serves as the primary, most important group of supporters or audience for another entity.
-
D.
hasSeatsForConstituency
Indicates that a governing body or institution allocates or provides a certain number of representative seats for a specific constituency.
-
E.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaeaee388190a21e7fa0b8f83546 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.