Triple
T34155472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Castro |
E876123
|
entity |
| Predicate | approximateNumberOfColonistsBrought |
P126866
|
FINISHED |
| Object | about 2000 |
—
|
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: about 2000 | Statement: [Henri Castro, approximateNumberOfColonistsBrought, about 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfColonistsBrought Context triple: [Henri Castro, approximateNumberOfColonistsBrought, about 2000]
-
A.
numberOfColonists
chosen
Indicates the quantity of colonists associated with or present in a given entity or context.
-
B.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
-
C.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
D.
numberOfInitialSettlers
Indicates the quantity of settlers present at the initial establishment of a settlement or colony.
-
E.
hadColonistsFrom
Indicates that a place or settlement previously received colonists originating from another specified place.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:54 a.m.