Triple
T8969543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedland |
E214227
|
entity |
| Predicate | battleLedTo |
P85998
|
FINISHED |
| Object | temporary Franco-Russian alliance |
—
|
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: temporary Franco-Russian alliance | Statement: [Friedland, battleLedTo, temporary Franco-Russian alliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battleLedTo Context triple: [Friedland, battleLedTo, temporary Franco-Russian alliance]
-
A.
battleWasPartOf
Indicates that a specific battle occurred as a component or phase within a larger military campaign, war, or conflict.
-
B.
battleOccurred
Indicates that a conflict or combat event took place between specified parties at a particular time and/or location.
-
C.
battleOccurredNear
Indicates that a battle took place in spatial proximity to a specified location or entity.
-
D.
battleAlsoKnownAs
Indicates that a particular battle is known by an alternative name or names.
-
E.
battleDepicted
Indicates that a work or representation visually portrays a specific battle or combat event.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6765babc8190a4a3b79aa21047c8 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5fcf24348190b6b845205161c0ee |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:01 p.m.