Triple
T11810591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taensa |
E280860
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Taensas |
E280860
|
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: Taensas | Statement: [Taensa, hasAlternativeName, Taensas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taensas Context triple: [Taensa, hasAlternativeName, Taensas]
-
A.
Taensa
chosen
The Taensa are a Native American people historically associated with the lower Mississippi Valley region of what is now the southeastern United States.
-
B.
Taan
Taan is the Indigenous name for Prince of Wales Island, reflecting the traditional language and cultural heritage of its Native inhabitants.
-
C.
Taasinge
Taasinge is a Danish surname of likely Scandinavian origin, associated with individuals such as Carlotta Monterey.
-
D.
Tiosa
Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
-
E.
Taje
Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ca50a081908a198b336d8c2b98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13188b89c819095ba5d27de7ebbb2 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.