Triple
T38103224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lek Yuen Estate |
E951439
|
entity |
| Predicate | hasPrimaryTenure |
P90081
|
FINISHED |
| Object | rental |
—
|
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: rental | Statement: [Lek Yuen Estate, hasPrimaryTenure, rental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryTenure Context triple: [Lek Yuen Estate, hasPrimaryTenure, rental]
-
A.
hasPermanentSeniority
Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
-
B.
hasPrimary
chosen
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
C.
isTenuredPosition
Indicates that a position is a permanent academic or professional role typically protected from arbitrary dismissal.
-
D.
hasTenureMix
Indicates that an entity is associated with a specific combination or distribution of tenure types (e.g., ownership, rental, lease) within it.
-
E.
hasSeniorityStatus
Indicates that one entity holds a particular level or classification of seniority relative to others.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.