Triple
T8967473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alonso Fernández de Lugo |
E214174
|
entity |
| Predicate | startOfConquestOfTenerife |
P3478
|
FINISHED |
| Object | 1494 |
—
|
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: 1494 | Statement: [Alonso Fernández de Lugo, startOfConquestOfTenerife, 1494]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfConquestOfTenerife Context triple: [Alonso Fernández de Lugo, startOfConquestOfTenerife, 1494]
-
A.
startTimeAsKingOfMajorca
Indicates the point in time when an individual begins their reign as King of Majorca.
-
B.
conquestYear
chosen
Indicates the year in which one entity successfully conquered or took control over another entity.
-
C.
conquestPeriod
Indicates the time span during which one entity successfully subjugates or takes control of another through conquest.
-
D.
conquestEvent
Indicates an event in which one party gains control over another entity or territory through force or domination.
-
E.
startTimeAsKingOfAragon
Indicates the point in time when an entity began its reign as King of Aragon.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:01 p.m.