Triple
T26095619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Haddington |
E658256
|
entity |
| Predicate | grantedMilitarySupportFrom |
P8529
|
FINISHED |
| Object | Kingdom of France |
—
|
NE NERFINISHED |
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: Kingdom of France | Statement: [Treaty of Haddington, grantedMilitarySupportFrom, Kingdom of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedMilitarySupportFrom Context triple: [Treaty of Haddington, grantedMilitarySupportFrom, Kingdom of France]
-
A.
receivesMilitaryAidFrom
chosen
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
B.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
C.
diplomaticSupportFrom
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
D.
militarySupportActivity
Indicates an action where one entity provides military-related assistance, resources, or operational support to another.
-
E.
providedEconomicAidTo
Indicates that one entity has given financial or material support to another entity, typically to assist with economic needs or development.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 7:50 p.m.