Triple
T9920355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golan Heights Law |
E187777
|
entity |
| Predicate | relatedYear |
P91150
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Golan Heights Law, relatedYear, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedYear Context triple: [Golan Heights Law, relatedYear, 1967]
-
A.
relationshipStartYear
Indicates the calendar year in which a particular relationship between entities was initiated.
-
B.
associatedWithYearFilm
Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given year.
-
C.
yearOfReference
Indicates the specific year to which a statement, measurement, or data point is intended to apply or be interpreted with reference.
-
D.
movementYear
Indicates the year in which a movement, relocation, or transfer of an entity took place.
-
E.
returnYear
Indicates the year in which something is returned or given back to its original owner, place, or state.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5699bc48190961e036d1131fef0 |
completed | April 2, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:42 p.m.