Triple
T30743251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | third voyage of Christopher Columbus |
E782746
|
entity |
| Predicate | reachedSettlement |
P170498
|
FINISHED |
| Object | Hispaniola |
—
|
NE NERFINISHED |
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: Hispaniola | Statement: [third voyage of Christopher Columbus, reachedSettlement, Hispaniola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reachedSettlement Context triple: [third voyage of Christopher Columbus, reachedSettlement, Hispaniola]
-
A.
settledAs
Indicates that one entity has been resolved, finalized, or agreed upon in the form or status of another entity.
-
B.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
-
C.
settled
Indicates that an entity established residence or a stable presence in a place, typically after moving from elsewhere.
-
D.
hasSettlementAround
Indicates that a settlement is located in the surrounding area of a specified place or feature.
-
E.
isSettlement
Indicates that the subject entity functions as a human-inhabited place or community, such as a town, village, or city.
- F. None of above. chosen
Provenance (4 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 8:38 p.m.