Triple
T19325397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sip Song Chau Tai |
E483332
|
entity |
| Predicate | rulingTitle |
P10605
|
FINISHED |
| Object |
chao
Chao was a traditional noble title used by the Tai rulers of the Sip Song Chau Tai confederation in what is now northwestern Vietnam and neighboring regions.
|
E1370544
|
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: chao | Statement: [Sip Song Chau Tai, rulingTitle, chao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: chao Context triple: [Sip Song Chau Tai, rulingTitle, chao]
-
A.
Cho
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
B.
CHO
CHO is the three-letter IATA airport code for Charlottesville–Albemarle Airport in Virginia, United States.
-
C.
Chong
Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
-
D.
Chong
Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
-
E.
Chao-chou
Chao-chou is an older romanized form of the name for Chaozhou, a historic city in eastern Guangdong Province, China, known for its distinctive Teochew culture and cuisine.
- 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: chao Triple: [Sip Song Chau Tai, rulingTitle, chao]
Generated description
Chao was a traditional noble title used by the Tai rulers of the Sip Song Chau Tai confederation in what is now northwestern Vietnam and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: chao Target entity description: Chao was a traditional noble title used by the Tai rulers of the Sip Song Chau Tai confederation in what is now northwestern Vietnam and neighboring regions.
-
A.
Cho
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
B.
CHO
CHO is the three-letter IATA airport code for Charlottesville–Albemarle Airport in Virginia, United States.
-
C.
Chong
Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
-
D.
Chong
Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
-
E.
Chao-chou
Chao-chou is an older romanized form of the name for Chaozhou, a historic city in eastern Guangdong Province, China, known for its distinctive Teochew culture and cuisine.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bdc5a2881908b7e71c397be2c2f |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de35b9081908d1b6e797cbe69ce |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:32 p.m.