Triple
T1313165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEATO |
E28039
|
entity |
| Predicate | hasLanguage |
P15
|
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: [SEATO, hasLanguage, Lao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lao Context triple: [SEATO, hasLanguage, 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.
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.
-
C.
Lao script
Lao script is an abugida writing system of the Tai-Kadai language family, primarily used to write the Lao language and closely related to the Thai script.
-
D.
Hmong
Hmong is a Hmong-Mien language spoken by the Hmong people, many of whom are part of the Asian American community, with several dialects and a rich oral tradition.
-
E.
Jingpo language
The Jingpo language is a Tibeto-Burman language spoken primarily by the Jingpo (Kachin) people in northern Myanmar and adjacent regions of China and India.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1585d3081909ca0221c23de63ba |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaeeece08190a805a2f037e709ce |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.