Triple
T3491705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seneca |
E73747
|
entity |
| Predicate | nativeLanguage |
P151
|
FINISHED |
| Object | Seneca language |
E279195
|
NE FINISHED |
How this triple was built (2 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: Seneca language | Statement: [Seneca, nativeLanguage, Seneca language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seneca language Context triple: [Seneca, nativeLanguage, Seneca language]
-
A.
Seneca language
chosen
The Seneca language is an Iroquoian language traditionally spoken by the Seneca people, one of the nations of the Haudenosaunee (Iroquois) Confederacy, and is the focus of ongoing revitalization efforts.
-
B.
Sentinelese language
The Sentinelese language is the undocumented and unclassified tongue spoken by the isolated Sentinelese people of North Sentinel Island in the Andaman archipelago.
-
C.
Pamona language
The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
-
D.
Seinlanguage
Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
-
E.
Zenati languages
The Zenati languages are a branch of the Berber language family spoken primarily in North Africa, especially across parts of Algeria, Morocco, and Tunisia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaa720c8190af47b052cc66c225 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373bf5d3c8190ae631a6114696e98 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.