Triple
T25499639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Palace of Guinea-Bissau |
E639072
|
entity |
| Predicate | hasNativeCountryCapital |
P166582
|
FINISHED |
| Object | Bissau |
—
|
NE NERFINISHED |
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: Bissau | Statement: [Presidential Palace of Guinea-Bissau, hasNativeCountryCapital, Bissau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNativeCountryCapital Context triple: [Presidential Palace of Guinea-Bissau, hasNativeCountryCapital, Bissau]
-
A.
hasCountryOfCapital
Indicates that a capital city is associated with or belongs to a specific country.
-
B.
hasCountryCapitalStatus
Indicates that a location holds the official status of being the capital city of a specified country.
-
C.
hasCountryCapitalContext
Indicates that a specified context or situation relates a country to its capital city, capturing additional information about that country–capital relationship.
-
D.
hasNationalCapitalFunction
Indicates that an entity serves as the national capital or performs the official capital-city role for a country or sovereign state.
-
E.
hasSovereignStateCapital
Indicates that a sovereign state has a specific city or location serving as its official capital.
- F. None of above. chosen
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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 21, 2026, 2:42 p.m.