Triple
T9158262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanahani |
E219758
|
entity |
| Predicate | dateOfFirstEuropeanLanding |
P86836
|
FINISHED |
| Object | 1492-10-12 |
—
|
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: 1492-10-12 | Statement: [Guanahani, dateOfFirstEuropeanLanding, 1492-10-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstEuropeanLanding Context triple: [Guanahani, dateOfFirstEuropeanLanding, 1492-10-12]
-
A.
firstEuropeanClaimBy
Indicates that a place or territory was first formally claimed or asserted as possession by a specified European individual, group, or state.
-
B.
yearOfEuropeanExploration
Indicates the specific year in which a European exploration of the referenced entity took place.
-
C.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
-
D.
firstEuropeanSettlementOn
Indicates that one entity is the first European-established settlement located on the specified place or territory.
-
E.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d6b9ac819094efe12c1ed67ecf |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc668ad3d881908a8a93a6a1d553e4 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 7:21 p.m.