Triple

T24089645
Position Surface form Disambiguated ID Type / Status
Subject Achziv E596750 entity
Predicate hasNearbyKibbutz P93559 FINISHED
Object Kibbutz Gesher HaZiv
Kibbutz Gesher HaZiv is a communal agricultural settlement in northern Israel near the Mediterranean coast, known for its proximity to the ancient site and national park of Achziv.
 E1626066 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: Kibbutz Gesher HaZiv | Statement: [Achziv, hasNearbyKibbutz, Kibbutz Gesher HaZiv]
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: Kibbutz Gesher HaZiv
Triple: [Achziv, hasNearbyKibbutz, Kibbutz Gesher HaZiv]
Generated description
Kibbutz Gesher HaZiv is a communal agricultural settlement in northern Israel near the Mediterranean coast, known for its proximity to the ancient site and national park of Achziv.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyKibbutz
Context triple: [Achziv, hasNearbyKibbutz, Kibbutz Gesher HaZiv]
  • A. nearbyIsraeliSettlement chosen
    Indicates that one entity is located close in distance to an Israeli settlement.
  • B. hasNearbyArabLocality
    Indicates that one entity has an Arab locality situated in close geographic proximity to it.
  • C. keyDifferenceFromKibbutz
    Indicates the primary way in which something differs from or contrasts with a kibbutz.
  • D. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • E. distanceFromBeersheba
    Indicates the spatial distance between a given location or entity and Beersheba.
  • 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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2d405881909469aa95901ab87b completed April 29, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcfd7f38819098956dbd3fd1f747 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fc0e6e9588190a2865f94736faa2b completed May 22, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc17855cc8190b4a353b7e94fa0c3 completed May 22, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 10:49 p.m.