Triple

T23987589
Position Surface form Disambiguated ID Type / Status
Subject Israel and Egypt E604979 entity
Predicate EgyptEmbassyLocationInIsrael P154520 FINISHED
Object Tel Aviv NE NERFINISHED

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 | Statement: [Israel and Egypt, EgyptEmbassyLocationInIsrael, Tel Aviv]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: EgyptEmbassyLocationInIsrael
Context triple: [Israel and Egypt, EgyptEmbassyLocationInIsrael, Tel Aviv]
  • A. embassyOfSyriaLocation
    Indicates the location where the embassy representing Syria is situated.
  • B. locatedInDirectionWithinEgypt
    Indicates that one place is situated in a specified cardinal or relative direction from another place, with both locations being within the borders of Egypt.
  • C. USEmbassyLocation
    Indicates that a specified location is the site where the United States embassy for a particular country is situated.
  • D. embassyOfUnitedStatesLocation
    Indicates the geographic location where a particular United States embassy is situated.
  • E. EstonianEmbassyLocation
    Indicates the location where an Estonian embassy is situated.
  • F. None of above. chosen

Provenance (4 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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d38838f481909a52fccd392a92df completed April 29, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69f1615994c48190a5de95d3f7e5cd0a completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f16e348b548190b76e50f9b611f76d completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 9:36 p.m.