Triple
T38104086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern District, Hong Kong |
E951459
|
entity |
| Predicate | containsCountryPark |
P22312
|
FINISHED |
| Object | Aberdeen Country Park |
E1755304
|
NE 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: Aberdeen Country Park | Statement: [Southern District, Hong Kong, containsCountryPark, Aberdeen Country Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCountryPark Context triple: [Southern District, Hong Kong, containsCountryPark, Aberdeen Country Park]
-
A.
hasCountryPark
chosen
Indicates that a place or administrative area contains or is associated with a designated country park.
-
B.
includesOverseasParks
Indicates that the referenced collection, plan, or offering contains or covers parks located outside the home country.
-
C.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
D.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
E.
containsProvincialPark
Indicates that one entity geographically includes or encompasses a provincial park within its boundaries.
- F. None of above.
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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01e993fec0819090cc397218515e88 |
completed | May 11, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a416813d3a881908b64ea43d35642df |
completed | June 28, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_6a01e57594188190a2354f48cf71b48c |
completed | May 11, 2026, 2:19 p.m. |
Created at: May 3, 2026, 4:21 p.m.