Triple
T7352516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covent Garden Theatre |
E169536
|
entity |
| Predicate | gasLightingIntroduced |
P59881
|
FINISHED |
| Object | early 19th century |
—
|
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: early 19th century | Statement: [Covent Garden Theatre, gasLightingIntroduced, early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasLightingIntroduced Context triple: [Covent Garden Theatre, gasLightingIntroduced, early 19th century]
-
A.
typeOfLampsUsed
Indicates the specific kinds or categories of lamps that are utilized in a given context or system.
-
B.
hasLightingImprovements
chosen
Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
-
C.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
D.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
E.
lightStationBuiltFor
Indicates that a light station was constructed specifically to serve, support, or be used by a particular entity or purpose.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.