Triple
T38037076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גבעת שמואל |
E949379
|
entity |
| Predicate | שם לועזי |
P189891
|
FINISHED |
| Object | Giv'at Shmuel |
—
|
NE NERFINISHED |
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: Giv'at Shmuel | Statement: [גבעת שמואל, שם לועזי, Giv'at Shmuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: שם לועזי Context triple: [גבעת שמואל, שם לועזי, Giv'at Shmuel]
-
A.
Félix Kir
Indicates a relationship where an entity is associated with or named after Félix Kir, typically signifying dedication, commemoration, or attribution to this person.
-
B.
ألف
Indicates that an entity is associated with or characterized by the concept denoted by "ألف" in relation to another entity.
-
C.
روى
Indicates that one entity narrates, relates, or transmits a report, story, or hadith from another entity.
-
D.
Theodor Wolf
Indicates a relationship or action involving the entity associated with the name "Theodor Wolf," such as authorship, attribution, or participation in an event or context.
-
E.
Yosef Yoav Dubno
Indicates a naming relationship where “Yosef” and “Yoav Dubno” are associated as parts of the same person’s full name.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.