Triple
T6549885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trang province |
E151103
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Trang |
E151101
|
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: Trang | Statement: [Trang province, hasCapital, Trang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trang Context triple: [Trang province, hasCapital, Trang]
-
A.
Trang
chosen
Trang is a coastal city in southern Thailand known for its laid-back atmosphere, nearby islands, and distinctive local cuisine.
-
B.
Tran
Tran is a personal name, commonly used as both a given name and surname in various cultures, particularly in East and Southeast Asia.
-
C.
Hoan
Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
-
D.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
E.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae04affc8190826ee033849f2d42 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55113408190b96baf2747f36e3c |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:51 p.m.