Triple
T26947805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langley Falls Police Department |
E678694
|
entity |
| Predicate | hasFictionalOfficerRankStructure |
P181302
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Langley Falls Police Department, hasFictionalOfficerRankStructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalOfficerRankStructure Context triple: [Langley Falls Police Department, hasFictionalOfficerRankStructure, yes]
-
A.
commissionedRankStructure
Indicates that one entity defines or uses the hierarchical structure of commissioned ranks associated with another entity.
-
B.
militaryRankStructureBasedOn
Indicates that one military rank structure is organized, modeled, or defined according to another specified system or framework of ranks.
-
C.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
D.
usesFlagOfficerRanks
Indicates that an organization or force employs a rank structure that includes flag officer ranks (such as admirals or equivalent high-level officers).
-
E.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 27, 2026, 6:22 a.m.