Triple
T34842829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of a Thousand Orifices |
E1004386
|
entity |
| Predicate | refersToBuildingRegion |
P66507
|
FINISHED |
| Object | Hong Kong Island |
—
|
NE NERFINISHED |
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: Hong Kong Island | Statement: [House of a Thousand Orifices, refersToBuildingRegion, Hong Kong Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToBuildingRegion Context triple: [House of a Thousand Orifices, refersToBuildingRegion, Hong Kong Island]
-
A.
refersToBuildingDistrict
Indicates that something is associated with or designates a specific building district.
-
B.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
-
C.
regionReference
chosen
Indicates that one entity refers to, points to, or is associated with a specific region or area defined by another entity.
-
D.
regionOfCityReferenced
Indicates that a specific region or area within a city is being referenced or mentioned in relation to another entity or context.
-
E.
refersToStateInRegion
Indicates that one entity denotes or references a specific state located within a particular region.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4 p.m.