Triple
T36036591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmington Police Department |
E1042418
|
entity |
| Predicate | hasPrimarySettingRoleIn |
P76157
|
FINISHED |
| Object | The Shield |
E81051
|
NE 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: The Shield | Statement: [Farmington Police Department, hasPrimarySettingRoleIn, The Shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySettingRoleIn Context triple: [Farmington Police Department, hasPrimarySettingRoleIn, The Shield]
-
A.
hasSettingRole
chosen
Indicates that an entity participates in a setting by fulfilling a specific contextual or functional role within it.
-
B.
hasPrimaryAccessRole
Indicates that an entity is assigned the main or most authoritative access role governing its permissions or privileges.
-
C.
hasPrimaryLocationSetting
Indicates that an entity is associated with its main or default geographic or contextual location.
-
D.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
E.
isPrimarySetFor
Indicates that one entity is designated as the main or default set associated with another entity.
- F. None of above.
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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d53119cc81908f22600a7ca92c65 |
completed | June 22, 2026, 6:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.