Triple
T15803448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chao |
E383151
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Chiau |
E383154
|
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: Chiau | Statement: [Chao, hasAlternativeSpelling, Chiau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiau Context triple: [Chao, hasAlternativeSpelling, Chiau]
-
A.
Chau
chosen
Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
-
B.
Chakosi
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
-
C.
Chinnha
Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
-
D.
Chʼol
Chʼol is a Mayan language spoken primarily in the Mexican states of Chiapas and Tabasco by the Chʼol people, known for its rich verbal morphology and importance to contemporary Maya culture.
-
E.
Chienti
The Chienti is a river in the Marche region of central Italy that flows through the province of Macerata before emptying into the Adriatic Sea.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b524835c8190ae286b2562f07756 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b4fe5881909471887219654d69 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.