Triple
T20798848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murzuq Desert |
E511984
|
entity |
| Predicate | hasTraditionalInhabitants |
P11159
|
FINISHED |
| Object | Tebu |
—
|
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: Tebu | Statement: [Murzuq Desert, hasTraditionalInhabitants, Tebu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tebu Context triple: [Murzuq Desert, hasTraditionalInhabitants, 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.
Tebrau
Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
-
D.
Nabo
Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
-
E.
Sego
Sego is the NATO reporting name for the Soviet SS-11, an early cold-war era ground-launched anti-tank guided missile system.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aef2e08190a779ed1d516ecba7 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.