Triple
T8622641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zan |
E204204
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Zan languages |
E40624
|
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: Zan languages | Statement: [Zan, alternativeName, Zan languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zan languages Context triple: [Zan, alternativeName, Zan languages]
-
A.
Zan languages
chosen
The Zan languages are a small branch of the Kartvelian language family of the South Caucasus, comprising primarily the Mingrelian and Laz languages spoken along the Black Sea coast of Georgia and Turkey.
-
B.
Zanian languages
Zanian languages are a small group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
-
C.
Zaiwa language
The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
-
D.
Zabana language
The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
-
E.
Zenati languages
The Zenati languages are a branch of the Berber language family spoken primarily in North Africa, especially across parts of Algeria, Morocco, and Tunisia.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4726aa208190a7c437645d554bc9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:26 p.m.