Triple
T9049545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binh Tay Market |
E216847
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Cho Lon
Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
|
E774537
|
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: Cho Lon | Statement: [Binh Tay Market, locatedIn, Cho Lon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Lon Context triple: [Binh Tay Market, locatedIn, Cho Lon]
-
A.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
-
B.
Ho Trai
Ho Trai is the ornate scripture library building within Wat Phra Singh in Chiang Mai, traditionally used to house and protect sacred Buddhist texts.
-
C.
Ko Yao
Ko Yao is a tranquil pair of islands in southern Thailand known for their unspoiled beaches, traditional fishing villages, and laid-back atmosphere in Phang Nga Bay.
-
D.
Chao
Chao is a variant transliteration of the Chinese surname commonly rendered as Zhao in pinyin.
-
E.
Lun Tha
Lun Tha is a romantic male lead in the musical "The King and I," known for his forbidden love affair with Tuptim.
- 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: Cho Lon Triple: [Binh Tay Market, locatedIn, Cho Lon]
Generated description
Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Lon Target entity description: Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
-
A.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
-
B.
Ho Trai
Ho Trai is the ornate scripture library building within Wat Phra Singh in Chiang Mai, traditionally used to house and protect sacred Buddhist texts.
-
C.
Ko Yao
Ko Yao is a tranquil pair of islands in southern Thailand known for their unspoiled beaches, traditional fishing villages, and laid-back atmosphere in Phang Nga Bay.
-
D.
Chao
Chao is a variant transliteration of the Chinese surname commonly rendered as Zhao in pinyin.
-
E.
Lun Tha
Lun Tha is a romantic male lead in the musical "The King and I," known for his forbidden love affair with Tuptim.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b52cc1881909fb011d9a8af2e18 |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc0fd648190b0dd6cf62605b98f |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfed4fb6cc8190bb97345dd392b25b |
completed | April 3, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:10 p.m.