Triple
T19528007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielefeld viaduct |
E488581
|
entity |
| Predicate | militaryObjectiveType |
P136650
|
FINISHED |
| Object | transportation infrastructure |
—
|
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: transportation infrastructure | Statement: [Bielefeld viaduct, militaryObjectiveType, transportation infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryObjectiveType Context triple: [Bielefeld viaduct, militaryObjectiveType, transportation infrastructure]
-
A.
militaryObjectiveOf
Indicates that something serves as a military target, goal, or purpose specifically associated with a given actor or force.
-
B.
militaryCampaignObjective
Indicates that a military campaign is conducted with the specific aim or goal of achieving a particular strategic, operational, or tactical objective.
-
C.
militaryObjectiveStatus
Indicates the current status or condition of a designated military objective within a military context.
-
D.
insurgentObjective
Indicates that an insurgent group or actor has a specific strategic goal, target, or desired outcome they are attempting to achieve.
-
E.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363d43148190af25caaa57accf9b |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:41 p.m.