Triple

T38110170
Position Surface form Disambiguated ID Type / Status
Subject Sde Dov Airport E951632 entity
Predicate mainRoute P6298 FINISHED
Object Tel Aviv–Eilat
Tel Aviv–Eilat is a major domestic air route in Israel connecting the country’s central metropolitan area with its southern Red Sea resort city.
 E2283579 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: Tel Aviv–Eilat | Statement: [Sde Dov Airport, mainRoute, Tel Aviv–Eilat]
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: Tel Aviv–Eilat
Triple: [Sde Dov Airport, mainRoute, Tel Aviv–Eilat]
Generated description
Tel Aviv–Eilat is a major domestic air route in Israel connecting the country’s central metropolitan area with its southern Red Sea resort city.

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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc45aa4dd48190bfef03eca93849e5 completed May 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a425ebb349c8190afa3b773afb0acec completed June 29, 2026, 12:02 p.m.
NEDg Description generation batch_6a425fef6dc8819089496356993df227 completed June 29, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_6a42616dc7608190850ef86a06aa08e8 completed June 29, 2026, 12:13 p.m.
Created at: May 3, 2026, 4:21 p.m.