Triple
T4040051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristán de Luna y Arellano |
E83923
|
entity |
| Predicate | numberOfShipsInExpedition |
P39920
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Tristán de Luna y Arellano, numberOfShipsInExpedition, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsInExpedition Context triple: [Tristán de Luna y Arellano, numberOfShipsInExpedition, 11]
-
A.
expeditionShip
Indicates a relationship where a ship is designated or used specifically for conducting an expedition or exploratory mission.
-
B.
numberOfExpeditions
Indicates the total count of expeditions associated with a given entity or context.
-
C.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
D.
nationalityOfExpedition
Indicates the country or national affiliation associated with a given expedition.
-
E.
numberOfShipsInvolved
Indicates the total count of ships that participated or were involved in a specified event or situation.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb39400881909d0f5430f04e441c |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.