Triple
T28039897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India House, Manchester |
E708509
|
entity |
| Predicate | subjectBuilding |
P175230
|
FINISHED |
| Object | India House (Manchester building) |
—
|
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: India House (Manchester building) | Statement: [India House, Manchester, subjectBuilding, India House (Manchester building)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectBuilding Context triple: [India House, Manchester, subjectBuilding, India House (Manchester building)]
-
A.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
B.
buildings
Indicates that one or more buildings are associated with, located at, or relevant to the referenced entity.
-
C.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
-
D.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
E.
buildingComplex
Indicates a relationship where multiple buildings are grouped and function together as a single integrated complex.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 27, 2026, 8:24 p.m.