Triple
T37157610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Auckland |
E920552
|
entity |
| Predicate | resultOfAfghanPolicy |
P168947
|
FINISHED |
| Object | military disaster for the British in Afghanistan |
—
|
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: military disaster for the British in Afghanistan | Statement: [Lord Auckland, resultOfAfghanPolicy, military disaster for the British in Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfAfghanPolicy Context triple: [Lord Auckland, resultOfAfghanPolicy, military disaster for the British in Afghanistan]
-
A.
strategicObjectiveAfghan
Indicates that an entity has a strategic objective specifically related to Afghanistan or Afghan affairs.
-
B.
resultForPolicy
Indicates that a particular outcome, evaluation, or result is associated with and produced under a specific policy.
-
C.
importanceInAfghanistan
Indicates the degree to which something holds significance, influence, or priority specifically within the context of Afghanistan.
-
D.
consequenceOfPolicies
chosen
Indicates the outcomes or effects that result from the implementation or existence of specific policies.
-
E.
statusInAfghanistan
Indicates the condition, role, or legal standing an entity holds within the context of Afghanistan.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:15 p.m.