Triple
T20776924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjah |
E511377
|
entity |
| Predicate | postTalibanEra |
P114434
|
FINISHED |
| Object | site of counterinsurgency operations |
—
|
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: site of counterinsurgency operations | Statement: [Marjah, postTalibanEra, site of counterinsurgency operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postTalibanEra Context triple: [Marjah, postTalibanEra, site of counterinsurgency operations]
-
A.
positionInTaliban
Indicates that an individual holds or has held an official role, rank, or function within the Taliban organization.
-
B.
successorAsTalibanLeader
Indicates that one individual became the next leader of the Taliban after another individual.
-
C.
statusInAfghanistan
Indicates the condition, role, or legal standing an entity holds within the context of Afghanistan.
-
D.
returnedToPakistan
Indicates that an entity went back to Pakistan after having been away.
-
E.
importanceInAfghanistan
chosen
Indicates the degree to which something holds significance, influence, or priority specifically 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26bbe108190bb7c3e5b416e44fe |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.