Triple
T34842827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of a Thousand Orifices |
E1004386
|
entity |
| Predicate | refersToBuildingOwner |
P27908
|
FINISHED |
| Object | Hongkong Land |
—
|
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: Hongkong Land | Statement: [House of a Thousand Orifices, refersToBuildingOwner, Hongkong Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToBuildingOwner Context triple: [House of a Thousand Orifices, refersToBuildingOwner, Hongkong Land]
-
A.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
-
B.
ownsOrLeases
chosen
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
C.
locatedInBuildingOwnedBy
Indicates that one entity is situated within a building that is owned by another entity.
-
D.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
E.
refersToAdministrativeEntityType
Indicates that one entity is associated with, or designates, a specific type or category of administrative entity (such as a class of governmental or organizational unit).
- 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_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4 p.m.