Triple
T8302318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai Wikinews |
E194376
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object |
Thai Wikipedia
Thai Wikipedia is the Thai-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
|
E723758
|
NE FINISHED |
How this triple was built (4 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 Wikipedia | Statement: [Thai Wikinews, hasSisterProject, Thai Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thai Wikipedia Context triple: [Thai Wikinews, hasSisterProject, Thai Wikipedia]
-
A.
THAI
THAI is the airline callsign used by Thai Airways International, the flag carrier of Thailand.
-
B.
Thai language
Thai language is the official national language of Thailand, a tonal Tai-Kadai language used in government, education, media, and daily communication throughout the country.
-
C.
Thai Wikinews
Thai Wikinews is the Thai-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Thai-speaking readers.
-
D.
Thai
Thai is the official national language of Thailand, belonging to the Tai-Kadai language family and written in its own unique script.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thai Wikipedia Triple: [Thai Wikinews, hasSisterProject, Thai Wikipedia]
Generated description
Thai Wikipedia is the Thai-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thai Wikipedia Target entity description: Thai Wikipedia is the Thai-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
A.
THAI
THAI is the airline callsign used by Thai Airways International, the flag carrier of Thailand.
-
B.
Thai language
Thai language is the official national language of Thailand, a tonal Tai-Kadai language used in government, education, media, and daily communication throughout the country.
-
C.
Thai Wikinews
Thai Wikinews is the Thai-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Thai-speaking readers.
-
D.
Thai
Thai is the official national language of Thailand, belonging to the Tai-Kadai language family and written in its own unique script.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8a45348190a7895b33abcb64c9 |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68c2a14c81908388ecdd22315390 |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d58032c8190ba99f78670924ae5 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e5be1108190afbc65b69a7700f2 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:53 p.m.