Triple
T2421936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Manuel I of Portugal |
E53436
|
entity |
| Predicate | notableEventDuringReign |
P17853
|
FINISHED |
| Object | discovery of the sea route to India |
—
|
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: discovery of the sea route to India | Statement: [King Manuel I of Portugal, notableEventDuringReign, discovery of the sea route to India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEventDuringReign Context triple: [King Manuel I of Portugal, notableEventDuringReign, discovery of the sea route to India]
-
A.
notableEventDuringTerm
chosen
Indicates that a significant or noteworthy event occurred during the time span of a particular term in office or period of service.
-
B.
notableBattleDuringReign
Indicates that a particular battle is notably associated with and occurred during the time span of a specific ruler’s reign.
-
C.
builtDuringReignOf
Indicates that something was constructed while a particular ruler or authority was in power.
-
D.
notableEventResponse
Indicates a response, reaction, or consequence that occurs as a result of a notable event.
-
E.
notableEventDate
Indicates the date on which a notable or significant event associated with the subject occurred.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.