Triple
T11443346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic State of Afghanistan |
E271199
|
entity |
| Predicate | deFactoLossOfCapital |
P29466
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Islamic State of Afghanistan, deFactoLossOfCapital, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deFactoLossOfCapital Context triple: [Islamic State of Afghanistan, deFactoLossOfCapital, 1996]
-
A.
causedLossOf
Indicates that one entity brought about or was responsible for another entity experiencing a loss.
-
B.
lostCapitalTo
chosen
Indicates that one entity ceased to be the capital in favor of another entity, to which the capital status was transferred or lost.
-
C.
significantLoss
Indicates that an entity has experienced a major or substantial decrease in value, quantity, or status beyond a normal or minor loss.
-
D.
capital
Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
-
E.
seizedCapital
Indicates that one entity forcibly took control of another entity’s capital city.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.