Triple
T7958781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Rufus King |
E184806
|
entity |
| Predicate | tookOathOfOfficeLocation |
P21367
|
FINISHED |
| Object | near Matanzas, Cuba |
—
|
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: near Matanzas, Cuba | Statement: [William Rufus King, tookOathOfOfficeLocation, near Matanzas, Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOathOfOfficeLocation Context triple: [William Rufus King, tookOathOfOfficeLocation, near Matanzas, Cuba]
-
A.
placeOfOffice
Indicates the location where an office or official position is held or based.
-
B.
inaugurationLocation
chosen
Indicates the place where an inauguration event occurs or is held.
-
C.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
D.
ceremonyLocation
Indicates the place where a ceremony is held or takes place.
-
E.
monarchOathLocation
Indicates the place where a monarch formally takes or has taken their oath.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b80050c81909b2db95ade495052 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.