Triple

T3511410
Position Surface form Disambiguated ID Type / Status
Subject Diegueño E74202 entity
Predicate ISO639-3Code P208 FINISHED
Object dih
dih is the ISO 639-3 code for Diegueño, a Yuman language traditionally spoken by the Kumeyaay people of southern California and northern Baja California.
 E365405 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: dih | Statement: [Diegueño, ISO639-3Code, dih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dih
Context triple: [Diegueño, ISO639-3Code, dih]
  • A. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • B. DiDi
    DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
  • C. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • D. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • E. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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: dih
Triple: [Diegueño, ISO639-3Code, dih]
Generated description
dih is the ISO 639-3 code for Diegueño, a Yuman language traditionally spoken by the Kumeyaay people of southern California and northern Baja California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dih
Target entity description: dih is the ISO 639-3 code for Diegueño, a Yuman language traditionally spoken by the Kumeyaay people of southern California and northern Baja California.
  • A. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • B. DiDi
    DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
  • C. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • D. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • E. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0f6cf8819098a1ec8693cc50e7 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7366e4819099b4a411343bdd90 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37fd93cac8190915d55b9c37abad5 completed March 13, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3802e69488190926b6aa6e9d1d693 completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.