Triple
T10389974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahtna Athabaskan |
E244864
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object |
Tanacross
Tanacross is an Alaska Native Athabaskan people and language community traditionally associated with the upper Tanana River region in eastern Interior Alaska.
|
E860140
|
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: Tanacross | Statement: [Ahtna Athabaskan, relatedEthnicGroup, Tanacross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanacross Context triple: [Ahtna Athabaskan, relatedEthnicGroup, Tanacross]
-
A.
Tapa
Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
-
B.
Tappin
Tappin is a professional collaborator or business partner associated with Joseph Reed.
-
C.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
D.
Jasso
Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
-
E.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
- 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: Tanacross Triple: [Ahtna Athabaskan, relatedEthnicGroup, Tanacross]
Generated description
Tanacross is an Alaska Native Athabaskan people and language community traditionally associated with the upper Tanana River region in eastern Interior Alaska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanacross Target entity description: Tanacross is an Alaska Native Athabaskan people and language community traditionally associated with the upper Tanana River region in eastern Interior Alaska.
-
A.
Tapa
Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
-
B.
Tappin
Tappin is a professional collaborator or business partner associated with Joseph Reed.
-
C.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
D.
Jasso
Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
-
E.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795b2423c8190a7c0e9b6fcbcc6db |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7998acbf881909b6f063c4bf2d0a6 |
completed | April 9, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79aa0cc5481908bc14cda8fb6e8b1 |
completed | April 9, 2026, 12:25 p.m. |
Created at: April 6, 2026, 12:05 p.m.