Triple
T26201776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Republic of Afghanistan |
E655246
|
entity |
| Predicate | firstInterimLeader |
P195760
|
FINISHED |
| Object | Hamid Karzai |
—
|
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: Hamid Karzai | Statement: [Islamic Republic of Afghanistan, firstInterimLeader, Hamid Karzai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInterimLeader Context triple: [Islamic Republic of Afghanistan, firstInterimLeader, Hamid Karzai]
-
A.
firstSupremeLeader
Indicates that the subject is the first person to hold the position or title of supreme leader of the object entity.
-
B.
initialLeader
Indicates that an entity serves as the first or original leader of another entity, typically at the start of its existence or a defined period.
-
C.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
-
D.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
E.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: April 26, 2026, 8:48 p.m.