Triple

T23194464
Position Surface form Disambiguated ID Type / Status
Subject Avoyelles Parish, Louisiana, United States E579836 entity
Predicate postalAbbreviation P43 FINISHED
Object LA
LA is the standard two-letter U.S. Postal Service abbreviation for the state of Louisiana.
E177758 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: LA | Statement: [Avoyelles Parish, Louisiana, United States, postalAbbreviation, LA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LA
Context triple: [Avoyelles Parish, Louisiana, United States, postalAbbreviation, LA]
  • A. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • B. LA
    LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
  • C. LA
    LA is the vehicle registration code used for the district of Landeck in the Austrian state of Tyrol.
  • D. LA
    LA is the commonly used abbreviation for the Legislative Assembly of Western Australia, the lower house of the state’s bicameral Parliament.
  • E. LA
    LA is the ISO 3166-1 alpha-2 country code for Laos, a landlocked nation in Southeast Asia.
  • 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: LA
Triple: [Avoyelles Parish, Louisiana, United States, postalAbbreviation, LA]
Generated description
LA is the standard two-letter U.S. Postal Service abbreviation for the state of Louisiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LA
Target entity description: LA is the standard two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • A. LA chosen
    LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • B. LA
    LA is the ISO 3166-1 alpha-2 country code for Laos, a landlocked nation in Southeast Asia.
  • C. LA
    LA is the commonly used abbreviation for the Legislative Assembly of Western Australia, the lower house of the state’s bicameral Parliament.
  • D. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • E. LA
    LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
  • F. None of above.

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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fda64cc8190aeb5ccd8d8d20858 completed April 29, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30bcb5d4819088b89ef3aa187791 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c3283a77081908369f2b8cb78c781 completed May 19, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c331f08248190a6fa671734fca280 completed May 19, 2026, 9:53 a.m.
Created at: April 17, 2026, 4:06 p.m.