Triple
T809223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Franco |
E17505
|
entity |
| Predicate | startOfRule |
P21305
|
FINISHED |
| Object | 1939 |
—
|
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: 1939 | Statement: [Francisco Franco, startOfRule, 1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfRule Context triple: [Francisco Franco, startOfRule, 1939]
-
A.
startRule
Indicates that a particular rule is the initial or entry rule from which a process, system, or evaluation begins.
-
B.
endRule
Indicates that a previously active rule, regulation, or governing condition is terminated or ceases to apply.
-
C.
startPoint
Indicates the initial location or position from which an object, path, or action begins.
-
D.
startTimeOfRuleInHanover
Indicates the specific time at which a particular rule or regulation becomes effective or applicable within Hanover.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7221c081908068e66fe720f26d |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ac0688708190b62ac0a8239ec8c8 |
completed | March 1, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:38 p.m.