Triple
T10356600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Pancras New Church |
E244011
|
entity |
| Predicate | hasCaryatidsModelledOn |
P93845
|
FINISHED |
| Object | Erechtheion caryatids |
—
|
LITERAL 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: Erechtheion caryatids | Statement: [St Pancras New Church, hasCaryatidsModelledOn, Erechtheion caryatids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaryatidsModelledOn Context triple: [St Pancras New Church, hasCaryatidsModelledOn, Erechtheion caryatids]
-
A.
numberOfCaryatids
Indicates the quantity of caryatids associated with or present on a given entity.
-
B.
hasSculpturalFigures
Indicates that something includes or features three-dimensional sculpted figures as part of its form or decoration.
-
C.
hasPlinth
Indicates that one object is supported by or mounted on a plinth (a base or pedestal).
-
D.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
E.
hasSculptor
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e954a0b8819083e4bd1fa47dc6f5 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:58 a.m.