Triple
T30475837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho Chi Minh City–Thu Dau Mot–Chon Thanh Expressway |
E775440
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Chon Thanh
Chon Thanh is a district-level area in southern Vietnam’s Binh Phuoc Province that serves as a growing transport and economic hub linked to Ho Chi Minh City by expressway.
|
E1916660
|
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: Chon Thanh | Statement: [Ho Chi Minh City–Thu Dau Mot–Chon Thanh Expressway, connects, Chon Thanh]
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: Chon Thanh Triple: [Ho Chi Minh City–Thu Dau Mot–Chon Thanh Expressway, connects, Chon Thanh]
Generated description
Chon Thanh is a district-level area in southern Vietnam’s Binh Phuoc Province that serves as a growing transport and economic hub linked to Ho Chi Minh City by expressway.
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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687192fc88190abd451b2941b421e |
completed | May 2, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27ac22e5288190a21dd047aa1e049d |
completed | June 9, 2026, 6:01 a.m. |
| NEDg | Description generation | batch_6a27ad3048ec81909f58b8f52a449e5c |
completed | June 9, 2026, 6:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27adc727788190bf60ed1c2b80ce0c |
completed | June 9, 2026, 6:08 a.m. |
Created at: April 29, 2026, 8:11 p.m.