Triple
T38262135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יגאל ידין |
E1017953
|
entity |
| Predicate | תואר אקדמי |
P6
|
FINISHED |
| Object | פרופסור לארכאולוגיה |
—
|
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: פרופסור לארכאולוגיה | Statement: [יגאל ידין, תואר אקדמי, פרופסור לארכאולוגיה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: תואר אקדמי Context triple: [יגאל ידין, תואר אקדמי, פרופסור לארכאולוגיה]
-
A.
academicDegree
chosen
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
תואר מקראי
Indicates a biblical title or designation that is attributed to an entity in the text.
-
C.
כולל מוסד אקדמי
Indicates that something contains, encompasses, or incorporates an academic institution as one of its components or members.
-
D.
honorificDegree
Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
-
E.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.