Triple

T8233752
Position Surface form Disambiguated ID Type / Status
Subject French Army Light Aviation E192354 entity
Predicate abbreviation P43 FINISHED
Object ALAT
ALAT is the French Army's dedicated aviation branch responsible for providing helicopter and light aircraft support for reconnaissance, transport, and combat operations.
E720674 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: ALAT | Statement: [French Army Light Aviation, abbreviation, ALAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALAT
Context triple: [French Army Light Aviation, abbreviation, ALAT]
  • A. Allat
    Allat is an ancient Arabian goddess associated with fertility, war, and protection, widely worshipped across pre-Islamic northern Arabia and the Syrian-Mesopotamian region.
  • B. ALTR
    ALTR is the stock ticker symbol for Altera Corporation, a former leading manufacturer of programmable logic devices that was acquired by Intel.
  • C. Alutus
    Alutus is the ancient name of the Olt River, a major waterway flowing through central Romania into the Danube.
  • D. Alang
    Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
  • E. Aluank
    Aluank is an ancient historical region and kingdom in the eastern Caucasus, known in classical sources as Caucasian Albania.
  • 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: ALAT
Triple: [French Army Light Aviation, abbreviation, ALAT]
Generated description
ALAT is the French Army's dedicated aviation branch responsible for providing helicopter and light aircraft support for reconnaissance, transport, and combat operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ALAT
Target entity description: ALAT is the French Army's dedicated aviation branch responsible for providing helicopter and light aircraft support for reconnaissance, transport, and combat operations.
  • A. Allat
    Allat is an ancient Arabian goddess associated with fertility, war, and protection, widely worshipped across pre-Islamic northern Arabia and the Syrian-Mesopotamian region.
  • B. ALTR
    ALTR is the stock ticker symbol for Altera Corporation, a former leading manufacturer of programmable logic devices that was acquired by Intel.
  • C. Alutus
    Alutus is the ancient name of the Olt River, a major waterway flowing through central Romania into the Danube.
  • D. Alang
    Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
  • E. Aluank
    Aluank is an ancient historical region and kingdom in the eastern Caucasus, known in classical sources as Caucasian Albania.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782792a48190a34b0abfcc92064b completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34f0a770819089520e689ca9937a completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd37a290508190b598f96220056041 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4eb519608190b5d0f534170214b5 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:46 p.m.