Triple
T36824338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th Knesset |
E909968
|
entity |
| Predicate | oversawGovernment |
P20679
|
FINISHED |
| Object |
Twenty-fifth government of Israel
The Twenty-fifth government of Israel was a short-lived early-1990s coalition cabinet led by Prime Minister Yitzhak Rabin, formed after the 1992 elections and focused on advancing the peace process and economic reforms.
|
E2200508
|
NE 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: Twenty-fifth government of Israel | Statement: [13th Knesset, oversawGovernment, Twenty-fifth government of Israel]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Twenty-fifth government of Israel Triple: [13th Knesset, oversawGovernment, Twenty-fifth government of Israel]
Generated description
The Twenty-fifth government of Israel was a short-lived early-1990s coalition cabinet led by Prime Minister Yitzhak Rabin, formed after the 1992 elections and focused on advancing the peace process and economic reforms.
Provenance (5 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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca9a6b2c8190a27a5c3f91a74d03 |
completed | May 3, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dde6722008190991e0c4f809a31ab |
completed | June 26, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_6a3de0ade05481909275771c1cb818e4 |
completed | June 26, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3de6f34c3481908da33bd81332794d |
completed | June 26, 2026, 2:41 a.m. |
Created at: May 3, 2026, 4:13 p.m.