Triple
T12121773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | royal garrison of the Bastille |
E288712
|
entity |
| Predicate | statusBefore1789 |
P103516
|
FINISHED |
| Object | royal institution |
—
|
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: royal institution | Statement: [royal garrison of the Bastille, statusBefore1789, royal institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBefore1789 Context triple: [royal garrison of the Bastille, statusBefore1789, royal institution]
-
A.
functionDuringAncienRegime
Indicates that an entity held or performed a particular official role, duty, or function specifically during the Ancien Régime period.
-
B.
statusAfter1871
Indicates the status or condition of an entity as it exists after the year 1871, typically in contrast to its prior status.
-
C.
usedBeforeFrenchRevolution
Indicates that something was in use or practiced prior to the onset of the French Revolution.
-
D.
legalStatusBefore1889
Indicates the legal status or condition that applied to an entity prior to the year 1889.
-
E.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.