Triple

T28834317
Position Surface form Disambiguated ID Type / Status
Subject Kifl Haris E728135 entity
Predicate nearbyIsraeliIndustrialZone P186654 FINISHED
Object Barkan Industrial Park
Barkan Industrial Park is an Israeli industrial zone in the West Bank that hosts numerous factories and businesses, often noted in the context of Israeli settlements and the regional economy.
 E1835809 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: Barkan Industrial Park | Statement: [Kifl Haris, nearbyIsraeliIndustrialZone, Barkan Industrial Park]
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: Barkan Industrial Park
Triple: [Kifl Haris, nearbyIsraeliIndustrialZone, Barkan Industrial Park]
Generated description
Barkan Industrial Park is an Israeli industrial zone in the West Bank that hosts numerous factories and businesses, often noted in the context of Israeli settlements and the regional economy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearbyIsraeliIndustrialZone
Context triple: [Kifl Haris, nearbyIsraeliIndustrialZone, Barkan Industrial Park]
  • A. hasIndustrialZoneAlong
    Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
  • B. nearbyIsraeliSettlement
    Indicates that one entity is located close in distance to an Israeli settlement.
  • C. nearIndustrialComplex chosen
    Indicates that one entity is located in close proximity to an industrial complex.
  • D. connectsToIndustrialArea
    Indicates that one entity has a direct link, route, or access connection to an industrial area.
  • E. nearbyIndustrialInstallation
    Indicates that one entity is located close to an industrial facility or installation.
  • 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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbaeaa1c8190bcab7ce401c74ff8 completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c04fe0f48190829c6dd2c0026650 completed June 7, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a24c4255b748190985f57aedda13c1c completed June 7, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: April 28, 2026, 6:38 a.m.