Triple
T10911993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datooga |
E257722
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tatoga |
E876056
|
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: Tatoga | Statement: [Datooga, hasAlternativeName, Tatoga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatoga Context triple: [Datooga, hasAlternativeName, Tatoga]
-
A.
Tatoga
chosen
Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
-
B.
Lo-Toga
Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Tanakia
Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
-
E.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 8, 2026, 9:22 p.m.