Triple
T38037064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גבעת שמואל |
E949379
|
entity |
| Predicate | סוג יישוב |
P189890
|
FINISHED |
| Object | עיר |
—
|
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: עיר | Statement: [גבעת שמואל, סוג יישוב, עיר]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: סוג יישוב Context triple: [גבעת שמואל, סוג יישוב, עיר]
-
A.
effectOnYishuv
Indicates the impact or consequences that an action, event, or condition has on the Yishuv (the Jewish community or settlement).
-
B.
settlerType
Indicates the specific category or classification of a settler involved in the relationship or context.
-
C.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
-
D.
მოსახლეობა
Indicates a relationship where a certain number of people inhabit or reside within a defined area or community.
-
E.
largestIsraeliSettlementBloc
Indicates that the subject is the largest Israeli settlement bloc in terms of size, population, or significance among all such blocs.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.