Triple

T20218080
Position Surface form Disambiguated ID Type / Status
Subject Pokémon Black and White E495178 entity
Predicate starterPokémonChoices P61171 FINISHED
Object Tepig
Tepig is a Fire-type pig Pokémon from the fifth generation games, known for being one of the three starter options in the Unova region.
 E1418084 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: Tepig | Statement: [Pokémon Black and White, starterPokémonChoices, Tepig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tepig
Context triple: [Pokémon Black and White, starterPokémonChoices, Tepig]
  • A. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • B. Tigaki
    Tigaki is a small seaside resort village on the Greek island of Kos, known for its long sandy beach and tourist facilities.
  • C. Tepa
    Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
  • D. Tepa
    Tepa is an island located within the Inner Banda Arc volcanic island chain in eastern Indonesia.
  • E. Empalot
    Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
  • 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: Tepig
Triple: [Pokémon Black and White, starterPokémonChoices, Tepig]
Generated description
Tepig is a Fire-type pig Pokémon from the fifth generation games, known for being one of the three starter options in the Unova region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tepig
Target entity description: Tepig is a Fire-type pig Pokémon from the fifth generation games, known for being one of the three starter options in the Unova region.
  • A. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • B. Tigaki
    Tigaki is a small seaside resort village on the Greek island of Kos, known for its long sandy beach and tourist facilities.
  • C. Tepa
    Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
  • D. Tepa
    Tepa is an island located within the Inner Banda Arc volcanic island chain in eastern Indonesia.
  • E. Empalot
    Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edaeeb08190bb74bd4a10aceca2 completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843f6580c8190a615d79f15f8143d completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a08449001b4819089cd6399ad76fe49 completed May 16, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a08452b6f9c8190bcaf705698b4a6d2 completed May 16, 2026, 10:21 a.m.
Created at: April 11, 2026, 11:39 p.m.