Triple
T38262136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יגאל ידין |
E1017953
|
entity |
| Predicate | עבד ב |
P30363
|
FINISHED |
| Object | האוניברסיטה העברית בירושלים |
—
|
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: האוניברסיטה העברית בירושלים | Statement: [יגאל ידין, עבד ב, האוניברסיטה העברית בירושלים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: עבד ב Context triple: [יגאל ידין, עבד ב, האוניברסיטה העברית בירושלים]
-
A.
דיני מלאכה בו
Indicates that the subject is governed by, or subject to, the halachic laws and regulations of labor (melacha) in relation to it.
-
B.
workOn
chosen
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
C.
workBecame
Indicates that one work was transformed, adapted, or evolved into another work over time.
-
D.
workWith
Indicates that one entity collaborates or engages in work-related activities together with another entity.
-
E.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
- 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.