Triple

T25968016
Position Surface form Disambiguated ID Type / Status
Subject جزيرة بريم E645727 entity
Predicate قرب P350 FINISHED
Object الساحل الإفريقي لمضيق باب المندب
الساحل الإفريقي لمضيق باب المندب هو الشريط الساحلي الواقع في القرن الإفريقي والمطل على الممر البحري الضيق الذي يربط البحر الأحمر بخليج عدن والمحيط الهندي.
 E1704707 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: الساحل الإفريقي لمضيق باب المندب
Triple: [جزيرة بريم, قرب, الساحل الإفريقي لمضيق باب المندب]
Generated description
الساحل الإفريقي لمضيق باب المندب هو الشريط الساحلي الواقع في القرن الإفريقي والمطل على الممر البحري الضيق الذي يربط البحر الأحمر بخليج عدن والمحيط الهندي.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a11078548a08190a79fd04637c73d06 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a1109a47700819082eab631a465c838 completed May 23, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_6a110a3dc68481909769d05e2c2535bd completed May 23, 2026, 2 a.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
Created at: April 22, 2026, 8:50 a.m.