Triple
T4040052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristán de Luna y Arellano |
E83923
|
entity |
| Predicate | approximateNumberOfColonists |
P3412
|
FINISHED |
| Object | 1500 |
—
|
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: 1500 | Statement: [Tristán de Luna y Arellano, approximateNumberOfColonists, 1500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfColonists Context triple: [Tristán de Luna y Arellano, approximateNumberOfColonists, 1500]
-
A.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
B.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
C.
foundingPopulation
Indicates the population size or composition present at the time an entity (such as a settlement, organization, or species group) was originally founded or established.
-
D.
numberOfOriginalSettlerFamilies
Indicates the count of distinct families that were part of the initial group of settlers in a given place or community.
-
E.
hasPopulationApproximate
chosen
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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.