Triple
T27107291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation of the British monarch |
E686614
|
entity |
| Predicate | continuousUseOfVenueSince |
P17127
|
FINISHED |
| Object | 1066 |
—
|
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: 1066 | Statement: [Coronation of the British monarch, continuousUseOfVenueSince, 1066]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuousUseOfVenueSince Context triple: [Coronation of the British monarch, continuousUseOfVenueSince, 1066]
-
A.
continuousHumanPresenceSince
Indicates that there has been an unbroken, ongoing human presence at or associated with the subject entity since the specified point in time.
-
B.
usualVenueSince
chosen
Indicates that a particular venue has been the regular or customary location for something (e.g., an event or activity) starting from a specified point in time.
-
C.
usedVenuesFrom
Indicates that one entity has made use of or operated in venues associated with another entity.
-
D.
continuouslyUsedAs
Indicates that one entity is persistently and repeatedly employed or utilized as another entity or for a particular function over an extended, uninterrupted period.
-
E.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 8:51 a.m.