Triple
T14190235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doyers Street |
E351691
|
entity |
| Predicate | safetyReputationPast |
P107603
|
FINISHED |
| Object | site of frequent shootings and ambushes (historically) |
—
|
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 frequent shootings and ambushes (historically) | Statement: [Doyers Street, safetyReputationPast, site of frequent shootings and ambushes (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyReputationPast Context triple: [Doyers Street, safetyReputationPast, site of frequent shootings and ambushes (historically)]
-
A.
hasSafetyReputation
chosen
Indicates that one entity is associated with an assessment or record of safety-related reliability or trustworthiness.
-
B.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
C.
haveReputation
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
-
D.
hasProfessionalReputationFor
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
E.
securityReputation
Indicates the assessed trustworthiness or risk level associated with an entity’s security posture or behavior.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.