Triple
T1939075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pali |
E41509
|
entity |
| Predicate | lexicalInfluenceOn |
P9129
|
FINISHED |
| Object | Thai language |
E16655
|
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: Thai language | Statement: [Pali, lexicalInfluenceOn, Thai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thai language Context triple: [Pali, lexicalInfluenceOn, Thai language]
-
A.
Thai script
Thai script is an abugida writing system used primarily for the Thai language, characterized by its distinctive rounded letters, complex consonant and vowel arrangements, and tone-marking diacritics.
-
B.
Lao
Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
-
C.
Thai
chosen
Thai is the official national language of Thailand, belonging to the Tai-Kadai language family and written in its own unique script.
-
D.
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.
-
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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c8be648190836580cec77a143f |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f81e0c819090e3f2154215ff18 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:36 p.m.