Triple
T6587868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchid Island |
E159271
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Tao language |
E138020
|
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: Tao language | Statement: [Orchid Island, hasLanguage, Tao language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tao language Context triple: [Orchid Island, hasLanguage, Tao language]
-
A.
Tat language
Tat language is an endangered Southwestern Iranian language spoken primarily by the Tat people of Azerbaijan and neighboring regions, distinct from but related to Judeo-Tat.
-
B.
Tanacross language
The Tanacross language is an endangered Northern Athabaskan language traditionally spoken by the Tanacross people of eastern Interior Alaska.
-
C.
Thao language
chosen
Thao language is an endangered Formosan language of central Taiwan, traditionally spoken by the Thao people around Sun Moon Lake.
-
D.
Towa language
Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
-
E.
Mara language
The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeb0e9d88190aa861e742ff6804e |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbb00cc48190a49afdb82a267043 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:55 p.m.