Triple
T30527794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barking Riverside |
E776903
|
entity |
| Predicate | hasTenureMix |
P190496
|
FINISHED |
| Object | private housing |
—
|
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: private housing | Statement: [Barking Riverside, hasTenureMix, private housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTenureMix Context triple: [Barking Riverside, hasTenureMix, private housing]
-
A.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
B.
hasPermanentSeniority
Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
-
C.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
-
D.
hasTenorRole
Indicates that an entity holds or performs the role of a tenor in a musical or vocal context.
-
E.
isTenuredPosition
Indicates that a position is a permanent academic or professional role typically protected from arbitrary dismissal.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 29, 2026, 8:17 p.m.