Triple
T25722403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beitar Illit |
E645026
|
entity |
| Predicate | legalStatusAccordingToIsrael |
P89144
|
FINISHED |
| Object | disputed |
—
|
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: disputed | Statement: [Beitar Illit, legalStatusAccordingToIsrael, disputed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAccordingToIsrael Context triple: [Beitar Illit, legalStatusAccordingToIsrael, disputed]
-
A.
statusUnderIsraeliLaw
chosen
Indicates the legal standing or classification an entity holds according to Israeli law.
-
B.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
C.
statusOfJerusalem
Indicates the political or legal condition, control, or recognition of Jerusalem at a given time.
-
D.
legalStatusInSyria
Indicates the legal status or condition an entity holds under the laws and regulations of Syria.
-
E.
hasLegalStatusInSudan
Indicates that an entity holds a recognized legal status or standing within the jurisdiction of Sudan.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 21, 2026, 10:04 p.m.