Triple
T5297154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murzuq |
E119882
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Tebu |
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: Tebu | Statement: [Murzuq, hasEthnicGroup, Tebu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tebu Context triple: [Murzuq, hasEthnicGroup, Tebu]
-
A.
Tebu
chosen
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
B.
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.
-
C.
Nabo
Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
-
D.
Abanilla
Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
-
E.
Semeka
Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85053e3c8190b28648056d6c5710 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10e3a0908190895fb4442afc715e |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:53 p.m.