Triple
T18412762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Re Yeng BRT Church Square station |
E441802
|
entity |
| Predicate | networkBrand |
P1500
|
FINISHED |
| Object | A Re Yeng |
—
|
NE NERFINISHED |
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: A Re Yeng | Statement: [A Re Yeng BRT Church Square station, networkBrand, A Re Yeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Re Yeng Context triple: [A Re Yeng BRT Church Square station, networkBrand, A Re Yeng]
-
A.
A Re Yeng
chosen
A Re Yeng is the bus rapid transit (BRT) system serving the city of Tshwane/Pretoria in South Africa.
-
B.
Semnai Theai
Semnai Theai are revered chthonic deities in ancient Greek religion associated with justice, retribution, and the protection of civic and moral order.
-
C.
Yayaying Rhatha Phongam
Yayaying Rhatha Phongam is a Thai actress and singer best known internationally for her role in Nicolas Winding Refn’s film "Only God Forgives."
-
D.
Wat Si Chum
Wat Si Chum is a historic Thai Buddhist temple in Sukhothai renowned for its massive seated Buddha image housed within a monumental mandapa.
-
E.
Si Sa Ket
Si Sa Ket is a major city in northeastern Thailand known as a provincial center near the Cambodian border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.