Triple
T19606776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitzana Border Crossing |
E470625
|
entity |
| Predicate | borderPartnerCrossing |
P107933
|
FINISHED |
| Object | Egyptian side of Nitzana crossing |
—
|
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: Egyptian side of Nitzana crossing | Statement: [Nitzana Border Crossing, borderPartnerCrossing, Egyptian side of Nitzana crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderPartnerCrossing Context triple: [Nitzana Border Crossing, borderPartnerCrossing, Egyptian side of Nitzana crossing]
-
A.
borderTownAcrossBorder
chosen
Indicates that a town lies on one side of a border directly opposite or adjacent to a town on the other side of that border.
-
B.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
C.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
D.
usesBorderCrossing
Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
-
E.
borderTradePointWith
Indicates a location or facility where trade or commercial exchange occurs between two bordering regions or countries.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c7ed24819091502fe0d5e139bc |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.