Triple
T13173073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwun Tong District |
E313025
|
entity |
| Predicate | hasMTRService |
P108886
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kwun Tong District, hasMTRService, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMTRService Context triple: [Kwun Tong District, hasMTRService, true]
-
A.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
B.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
C.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
D.
hasMCR
Indicates a relationship where an entity is associated with, or possesses, a specific MCR (e.g., a defined minimum capital requirement or similarly named regulatory/technical measure).
-
E.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:14 p.m.