Triple
T21053705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngulu language |
E518652
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Doe language |
—
|
NE NERFINISHED |
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: Doe language | Statement: [Ngulu language, neighboringLanguage, Doe language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doe language Context triple: [Ngulu language, neighboringLanguage, Doe language]
-
A.
Doe
Doe is the anonymous student respondent in the U.S. Supreme Court case Santa Fe Independent School District v. Doe, which challenged student-led prayer at public school football games.
-
B.
Doe
Doe is a music producer known for working on the track "Sweat."
-
C.
Doe
chosen
Doe is an Austronesian language spoken primarily on Flores Island in Indonesia, known for its place within the Central Flores subgroup.
-
D.
Doe B
Doe B was an American rapper from Alabama known for his gritty Southern style and posthumous rise in prominence after his untimely death.
-
E.
doe
A doe is a female deer, often symbolizing gentleness and protection in literature and folklore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.