Triple

T38607274
Position Surface form Disambiguated ID Type / Status
Subject South Hebron Hills E934375 entity
Predicate containsLocality P45140 FINISHED
Object Masafer Yatta
Masafer Yatta is a cluster of Palestinian rural communities in the South Hebron Hills of the occupied West Bank, known for its agricultural lifestyle and ongoing disputes over land, displacement, and military firing zones.
E2282781 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: Masafer Yatta | Statement: [South Hebron Hills, containsLocality, Masafer Yatta]
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: Masafer Yatta
Triple: [South Hebron Hills, containsLocality, Masafer Yatta]
Generated description
Masafer Yatta is a cluster of Palestinian rural communities in the South Hebron Hills of the occupied West Bank, known for its agricultural lifestyle and ongoing disputes over land, displacement, and military firing zones.

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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd95a54548190b0272da94449b29a completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a422ba630f88190b6194116e044f653 completed June 29, 2026, 8:24 a.m.
NEDg Description generation batch_6a422c4bb0f881908a7c7b2185fe9720 completed June 29, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a422c9da4a4819090760b4b407e3331 completed June 29, 2026, 8:28 a.m.
Created at: May 3, 2026, 4:32 p.m.