Triple
T11324570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwang-chou |
E268174
|
entity |
| Predicate | historicalRomanization |
P85115
|
FINISHED |
| Object | Canton |
E55203
|
NE FINISHED |
How this triple was built (3 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: Canton | Statement: [Kwang-chou, historicalRomanization, Canton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canton Context triple: [Kwang-chou, historicalRomanization, Canton]
-
A.
Canton
chosen
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
B.
Canton
Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
-
C.
Canton
Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
-
D.
Canton
Canton is a city in northeastern Ohio best known as the home of the Pro Football Hall of Fame.
-
E.
Canton
Canton is a surname of English and French origin borne by various notable individuals across fields such as film production and politics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRomanization Context triple: [Kwang-chou, historicalRomanization, Canton]
-
A.
romanizationBegan
Indicates that the process of converting text from one writing system into its representation using the Roman (Latin) alphabet was initiated.
-
B.
hasRomanizationOf
Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
-
C.
hasRomanizationStandard
Indicates that an entity’s romanized form follows a specified romanization standard or system.
-
D.
romanizationOccurred
chosen
Indicates that a process of converting text from one writing system into the Roman (Latin) alphabet has taken place.
-
E.
hasHakkaRomanization
Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
- F. None of above.
Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543055b588190a417b3d50ade989a |
completed | April 19, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.