Triple
T14190236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doyers Street |
E351691
|
entity |
| Predicate | safetyReputationPresent |
P107603
|
FINISHED |
| Object | generally safe urban tourist area |
—
|
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: generally safe urban tourist area | Statement: [Doyers Street, safetyReputationPresent, generally safe urban tourist area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyReputationPresent Context triple: [Doyers Street, safetyReputationPresent, generally safe urban tourist area]
-
A.
hasSafetyReputation
chosen
Indicates that one entity is associated with an assessment or record of safety-related reliability or trustworthiness.
-
B.
hasBrandReputation
Indicates that an entity possesses a certain level or type of perceived quality, trustworthiness, or public image associated with its brand.
-
C.
securityReputation
Indicates the assessed trustworthiness or risk level associated with an entity’s security posture or behavior.
-
D.
institutionalReputationContext
Indicates the situational or environmental factors that shape or influence an institution’s reputation.
-
E.
haveReputation
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
- 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.