Triple
T14983148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Knesset |
E373630
|
entity |
| Predicate | governmentNumberInIsrael |
P116938
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2nd Knesset, governmentNumberInIsrael, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentNumberInIsrael Context triple: [2nd Knesset, governmentNumberInIsrael, 3]
-
A.
resultedInGovernmentNumber
Indicates that one event, action, or condition caused or produced a specific government-issued identification number.
-
B.
roleInIsrael
Indicates that an entity holds or held a specific role, position, or function within the context of Israel.
-
C.
rankingByHeightInIsrael
Indicates an ordering of entities based on their relative heights within the context of Israel.
-
D.
hostGovernment
Indicates that a government serves as the official host or primary responsible authority for an event, activity, organization, or foreign presence within its jurisdiction.
-
E.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:52 a.m.