Triple

T14095845
Position Surface form Disambiguated ID Type / Status
Subject Israel Land Authority E339251 entity
Predicate shortName P43 FINISHED
Object ILA
ILA is the commonly used acronym for the Israel Land Authority, the government agency responsible for managing most of Israel’s land resources.
 E1079409 NE FINISHED

How this triple was built (4 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: ILA | Statement: [Israel Land Authority, shortName, ILA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ILA
Context triple: [Israel Land Authority, shortName, ILA]
  • A. IL
    IL is the vehicle registration code used for the district encompassing the Slovak town of Dubnica nad Váhom.
  • B. IL
    IL is the standard two-letter postal abbreviation for the U.S. state of Illinois.
  • C. IL
    IL is the vehicle registration code used on license plates for County Fermanagh in Northern Ireland.
  • D. IL
    IL is the two-letter ISO 3166-1 alpha-2 country code assigned to Israel for international standardization and data representation.
  • E. Illinois
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: ILA
Triple: [Israel Land Authority, shortName, ILA]
Generated description
ILA is the commonly used acronym for the Israel Land Authority, the government agency responsible for managing most of Israel’s land resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ILA
Target entity description: ILA is the commonly used acronym for the Israel Land Authority, the government agency responsible for managing most of Israel’s land resources.
  • A. IL
    IL is the standard two-letter postal abbreviation for the U.S. state of Illinois.
  • B. IL
    IL is the vehicle registration code used on license plates for County Fermanagh in Northern Ireland.
  • C. IL
    IL is the vehicle registration code used for the district encompassing the Slovak town of Dubnica nad Váhom.
  • D. IL
    IL is the two-letter ISO 3166-1 alpha-2 country code assigned to Israel for international standardization and data representation.
  • E. Illinois
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • F. None of above. chosen

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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.