Triple
T27074294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho Chi Minh City – Ca Mau |
E685414
|
entity |
| Predicate | connectsMetropolisWithProvincialCapital |
P111335
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Ho Chi Minh City – Ca Mau, connectsMetropolisWithProvincialCapital, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsMetropolisWithProvincialCapital Context triple: [Ho Chi Minh City – Ca Mau, connectsMetropolisWithProvincialCapital, true]
-
A.
regionCapitalConnected
chosen
Indicates that a capital city is directly connected (e.g., by transport or infrastructure) to its surrounding region.
-
B.
associatedWithProvinceCapital
Indicates that an entity has a relationship or connection to the capital city of a specific province.
-
C.
linkedToCapitalCity
Indicates a relationship where an entity is associated or connected to a capital city, typically as its relevant or corresponding urban center.
-
D.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
E.
governingCountryCapitalConnectedTo
Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
- F. None of above.
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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 8:30 a.m.