Triple
T12840142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natchez language |
E307026
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Naʼtche
Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
|
E1009535
|
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: Naʼtche | Statement: [Natchez language, alternativeName, Naʼtche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naʼtche Context triple: [Natchez language, alternativeName, Naʼtche]
-
A.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
B.
Walapai
Walapai is an alternate name for the Hualapai, a Native American tribe traditionally inhabiting northwestern Arizona.
-
C.
Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
-
D.
Niitsitapi
Niitsitapi refers to the Blackfoot people, an Indigenous group of the North American Great Plains with a rich cultural, linguistic, and spiritual heritage.
-
E.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
- 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: Naʼtche Triple: [Natchez language, alternativeName, Naʼtche]
Generated description
Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naʼtche Target entity description: Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
-
A.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
B.
Walapai
Walapai is an alternate name for the Hualapai, a Native American tribe traditionally inhabiting northwestern Arizona.
-
C.
Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
-
D.
Niitsitapi
Niitsitapi refers to the Blackfoot people, an Indigenous group of the North American Great Plains with a rich cultural, linguistic, and spiritual heritage.
-
E.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54838888190804202e45a55de48 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 9, 2026, 5:35 p.m.