Triple
T2287908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WPRO |
E51435
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Lao |
E64990
|
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: Lao | Statement: [WPRO, officialLanguage, Lao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lao Context triple: [WPRO, officialLanguage, Lao]
-
A.
Lao
chosen
Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
-
B.
Dholuo
Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
-
C.
Lisu
The Lisu are an ethnic minority people of the mountainous regions of southwest China and neighboring countries, known for their distinct Tibeto-Burman language, traditional music, and vibrant festivals.
-
D.
Pa’O language
The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
-
E.
Zhuang language
The Zhuang language is a Tai-Kadai language spoken primarily by the Zhuang ethnic group in Guangxi and surrounding regions of southern China.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24868048190940512fd6449d99e |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.