Triple
T25253938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Union passport |
E633116
|
entity |
| Predicate | firstIssuedAtLocation |
P181718
|
FINISHED |
| Object | Kigali, Rwanda |
—
|
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: Kigali, Rwanda | Statement: [African Union passport, firstIssuedAtLocation, Kigali, Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIssuedAtLocation Context triple: [African Union passport, firstIssuedAtLocation, Kigali, Rwanda]
-
A.
firstAppearsAtLocation
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
-
B.
firstIssuedOnFormat
Indicates the specific date format used to represent when something was first issued.
-
C.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
D.
issuedAt
Indicates the time or date at which something (such as a document, token, or statement) was formally created or released.
-
E.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 21, 2026, 1:12 p.m.