Triple
T8651735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tebu languages |
E205114
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tebuic |
E6206
|
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: Tebuic | Statement: [Tebu languages, hasAlternativeName, Tebuic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tebuic Context triple: [Tebu languages, hasAlternativeName, Tebuic]
-
A.
Tebuange
Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
-
B.
Tebu
chosen
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
E.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.