Triple
T14300975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannerman Road gang |
E354560
|
entity |
| Predicate | primaryResidenceOfGroup |
P76391
|
FINISHED |
| Object | 13 Bannerman Road |
—
|
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: 13 Bannerman Road | Statement: [Bannerman Road gang, primaryResidenceOfGroup, 13 Bannerman Road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidenceOfGroup Context triple: [Bannerman Road gang, primaryResidenceOfGroup, 13 Bannerman Road]
-
A.
regionOfHabitation
Indicates the geographic area or environment in which an entity typically lives or resides.
-
B.
residencyPattern
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
C.
primaryMaritalHomeOf
Indicates that a given residence serves as the main marital home of a specified married couple or spouse.
-
D.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
E.
isPermanentHomeOf
chosen
Indicates that a location serves as the long-term, primary residence for a particular entity.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.