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.