Triple

T21335366
Position Surface form Disambiguated ID Type / Status
Subject Ness Ziona E526029 entity
Predicate transportConnection P1298 FINISHED
Object Highway 42
Highway 42 is a major Israeli roadway that serves as a key regional route in central Israel, connecting cities such as Ness Ziona to the broader national road network.
 E2293128 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: Highway 42 | Statement: [Ness Ziona, transportConnection, Highway 42]
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: Highway 42
Triple: [Ness Ziona, transportConnection, Highway 42]
Generated description
Highway 42 is a major Israeli roadway that serves as a key regional route in central Israel, connecting cities such as Ness Ziona to the broader national road network.

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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a6c1e2eb08190a9c35e3165ad8906 completed Aug. 11, 2026, 12:26 a.m.
NEDg Description generation batch_6a7a6c8b55ac8190b0ccd22d9e82874d completed Aug. 11, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_6a7a6cd89a70819080d7292940bb3e43 completed Aug. 11, 2026, 12:29 a.m.
Created at: April 16, 2026, 4:43 p.m.