Triple
T3927347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nam Kỳ |
E93306
|
entity |
| Predicate | legalStatusInFrenchIndochina |
P40055
|
FINISHED |
| Object | directly administered colony |
—
|
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: directly administered colony | Statement: [Nam Kỳ, legalStatusInFrenchIndochina, directly administered colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInFrenchIndochina Context triple: [Nam Kỳ, legalStatusInFrenchIndochina, directly administered colony]
-
A.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
B.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
C.
legalStatusInEmpire
chosen
Indicates the formal legal standing or classification an entity holds within a particular empire’s legal and administrative system.
-
D.
legalStatusInMyanmar
Indicates the legal status or standing that an entity holds under the laws and regulations of Myanmar.
-
E.
legalStatusOfTerritoryBefore
Indicates that a specified legal status applied to a territory during a time period preceding another referenced point or event.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.