Triple

T6771353
Position Surface form Disambiguated ID Type / Status
Subject Ga language E155048 entity
Predicate ISO639-3 P208 FINISHED
Object gaa
Gaa is the ISO 639-3 code for the Ga language, a Kwa language spoken primarily in and around Accra in southern Ghana.
 E617320 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: gaa | Statement: [Ga language, ISO639-3, gaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: gaa
Context triple: [Ga language, ISO639-3, gaa]
  • A. GAA
    The GAA refers to the 1949 Armistice Agreements that formally ended the first Arab–Israeli war by establishing ceasefire lines between Israel and neighboring Arab states.
  • B. GOAA
    GOAA is the public agency that owns and operates Orlando International Airport and Orlando Executive Airport in Central Florida.
  • C. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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: gaa
Triple: [Ga language, ISO639-3, gaa]
Generated description
Gaa is the ISO 639-3 code for the Ga language, a Kwa language spoken primarily in and around Accra in southern Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: gaa
Target entity description: Gaa is the ISO 639-3 code for the Ga language, a Kwa language spoken primarily in and around Accra in southern Ghana.
  • A. GAA
    The GAA refers to the 1949 Armistice Agreements that formally ended the first Arab–Israeli war by establishing ceasefire lines between Israel and neighboring Arab states.
  • B. GOAA
    GOAA is the public agency that owns and operates Orlando International Airport and Orlando Executive Airport in Central Florida.
  • C. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • D. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.