Triple
T32126515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migdal Oz |
E820514
|
entity |
| Predicate | hasNearbyPalestinianLocality |
P130428
|
FINISHED |
| Object | Beit Fajjar |
—
|
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: Beit Fajjar | Statement: [Migdal Oz, hasNearbyPalestinianLocality, Beit Fajjar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyPalestinianLocality Context triple: [Migdal Oz, hasNearbyPalestinianLocality, Beit Fajjar]
-
A.
hasNearbyArabLocality
Indicates that one entity has an Arab locality situated in close geographic proximity to it.
-
B.
nearbyLocalityWestBank
chosen
Indicates that one locality is geographically near another locality located in the West Bank region.
-
C.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
-
D.
nearbyLocalityAfter1948
Indicates that one locality is geographically near another locality and that this nearby relationship holds (or became relevant) only for the period after the year 1948.
-
E.
hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 12:29 a.m.