Triple
T21824866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San languages |
E538822
|
entity |
| Predicate | hasExtinctLanguage |
P2180
|
FINISHED |
| Object | ǀXam |
—
|
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: ǀXam | Statement: [San languages, hasExtinctLanguage, ǀXam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ǀXam Context triple: [San languages, hasExtinctLanguage, ǀXam]
-
A.
ǀXam
chosen
ǀXam is an extinct Khoisan language once spoken by the ǀXam people of South Africa, known today mainly from 19th-century ethnographic and linguistic records.
-
B.
Xai-Xai
Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
-
C.
Yax
Yax is a Mayan term meaning "first" or "green/blue," used as a name element in royal titles such as Kʼinich Yax Kʼukʼ Moʼ.
-
D.
Xili
Xili is a subdistrict in Nanshan District, Shenzhen, China, known for its residential communities, universities, and technology-related facilities.
-
E.
Xanéu
Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091307d408190a92b65c3f39682a8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.