Triple
T23962742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebna Dengel |
E603972
|
entity |
| Predicate | soughtMilitaryAidFrom |
P8529
|
FINISHED |
| Object | King Manuel I of Portugal |
—
|
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: King Manuel I of Portugal | Statement: [Lebna Dengel, soughtMilitaryAidFrom, King Manuel I of Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soughtMilitaryAidFrom Context triple: [Lebna Dengel, soughtMilitaryAidFrom, King Manuel I of Portugal]
-
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.
providedEconomicAidTo
Indicates that one entity has given financial or material support to another entity, typically to assist with economic needs or development.
-
D.
diplomaticSupportFrom
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
E.
hasPeacekeepingForcesFrom
Indicates that an entity hosts or is supported by peacekeeping forces that originate from another specified entity.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0db90c88190adc18e9ee107281b |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:23 p.m.