Triple
T16502315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chợ Lớn |
E400827
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Cho Lon |
E774537
|
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: Cho Lon | Statement: [Chợ Lớn, historicalName, Cho Lon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Lon Context triple: [Chợ Lớn, historicalName, Cho Lon]
-
A.
Cho Lon
chosen
Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
-
B.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
-
C.
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.
-
D.
Launglon
Launglon is a coastal town in southern Myanmar located in the Tanintharyi Region.
-
E.
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.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e50436c8190836a1bc2baa188b1 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582e6e288190825af8758097e325 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.