Triple
T22661256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becontree |
E559666
|
entity |
| Predicate | laterTenure |
P149114
|
FINISHED |
| Object | mixed tenure 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: mixed tenure housing | Statement: [Becontree, laterTenure, mixed tenure housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterTenure Context triple: [Becontree, laterTenure, mixed tenure housing]
-
A.
laterTerm
Indicates that one term occurs after another term in a temporal or sequential order.
-
B.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
C.
lifeTenure
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
-
D.
isTenuredPosition
Indicates that a position is a permanent academic or professional role typically protected from arbitrary dismissal.
-
E.
laterDuration
Indicates that one event or time interval occurs after another and lasts for a specified duration.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765fe7d081908087778c54c1e612 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:07 p.m.