Triple
T34842824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of a Thousand Orifices |
E1004386
|
entity |
| Predicate | refersToBuildingOriginalName |
P139408
|
FINISHED |
| Object | Connaught Centre |
—
|
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: Connaught Centre | Statement: [House of a Thousand Orifices, refersToBuildingOriginalName, Connaught Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToBuildingOriginalName Context triple: [House of a Thousand Orifices, refersToBuildingOriginalName, Connaught Centre]
-
A.
originalBuildingName
chosen
Indicates that a building’s referenced name is its original or historically first assigned name, as opposed to any later or alternate names.
-
B.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
C.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
-
D.
buildingArchitectOfOriginal
Indicates that an entity is the architect responsible for the original design of a particular building.
-
E.
originalEstateName
Indicates the name originally assigned to an estate or property before any subsequent changes or renamings.
- 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_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4 p.m.