Triple
T25968016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جزيرة بريم |
E645727
|
entity |
| Predicate | قرب |
P350
|
FINISHED |
| Object | الساحل الإفريقي لمضيق باب المندب |
—
|
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: الساحل الإفريقي لمضيق باب المندب | Statement: [جزيرة بريم, قرب, الساحل الإفريقي لمضيق باب المندب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: قرب Context triple: [جزيرة بريم, قرب, الساحل الإفريقي لمضيق باب المندب]
-
A.
near
chosen
Indicates that one entity is located at a short distance from another entity in space or position.
-
B.
closestTo
Indicates that one entity is nearer in distance to a reference entity than any other comparable entity.
-
C.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
D.
closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
-
E.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.