Triple
T4180224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinz-Albrecht-Straße area |
E86574
|
entity |
| Predicate | roleInStateTerror |
P46944
|
FINISHED |
| Object | central command location |
—
|
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: central command location | Statement: [Prinz-Albrecht-Straße area, roleInStateTerror, central command location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInStateTerror Context triple: [Prinz-Albrecht-Straße area, roleInStateTerror, central command location]
-
A.
classifiedAsTerroristBy
Indicates that an entity has been designated or labeled as a terrorist by a specified authority, organization, or actor.
-
B.
typeOfTerrorism
Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
-
C.
roleInCrime
chosen
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
D.
terroristOrganization
Indicates that an entity is recognized as a group that plans, supports, or carries out acts of terrorism.
-
E.
roleAtD.C.United
Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.