Triple
T3198122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafah Crossing |
E66980
|
entity |
| Predicate | isMainCrossingBetween |
P12328
|
FINISHED |
| Object | Gaza Strip and Egypt |
—
|
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: Gaza Strip and Egypt | Statement: [Rafah Crossing, isMainCrossingBetween, Gaza Strip and Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCrossingBetween Context triple: [Rafah Crossing, isMainCrossingBetween, Gaza Strip and Egypt]
-
A.
hasMajorCrossing
chosen
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
B.
isLocalCrossroads
Indicates that a location serves as a junction where multiple local routes or streets intersect.
-
C.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
D.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
E.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7192994819084817307065a25e2 |
completed | March 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.