Triple

T27717730
Position Surface form Disambiguated ID Type / Status
Subject Jammaʿil E698866 entity
Predicate locatedIn P40 FINISHED
Object northern West Bank
The northern West Bank is a region of the Israeli-occupied Palestinian territory characterized by its hilly landscape, Palestinian towns and villages, and ongoing political and territorial disputes.
 E1785332 NE 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: northern West Bank | Statement: [Jammaʿil, locatedIn, northern West Bank]
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: northern West Bank
Triple: [Jammaʿil, locatedIn, northern West Bank]
Generated description
The northern West Bank is a region of the Israeli-occupied Palestinian territory characterized by its hilly landscape, Palestinian towns and villages, and ongoing political and territorial disputes.

Provenance (5 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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e4662b288190a6c88c8e7d9fc444 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4da65dc8190801cafed5fb95685 completed May 24, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5acc5c8819081be9900ea407d65 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 3:05 p.m.