Triple
T7793840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Palace of Constantinople |
E180247
|
entity |
| Predicate | servedAsResidenceFor |
P6777
|
FINISHED |
| Object | Byzantine emperors |
—
|
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: Byzantine emperors | Statement: [Great Palace of Constantinople, servedAsResidenceFor, Byzantine emperors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsResidenceFor Context triple: [Great Palace of Constantinople, servedAsResidenceFor, Byzantine emperors]
-
A.
servedAsResidenceOf
chosen
Indicates that something functioned as the home or dwelling place of a particular person or group.
-
B.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
C.
formerCapitalResidence
Indicates that an entity once served as the official residence associated with a capital (such as a capital city or seat of government) but no longer holds that status.
-
D.
servedAsImperialResidenceFrom
Indicates that an entity functioned as an imperial residence starting from a specified point in time.
-
E.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:31 p.m.