Triple
T4970763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Mauritius |
E111641
|
entity |
| Predicate | earliestPermanentSettlement |
P60719
|
FINISHED |
| Object | 1638 |
—
|
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: 1638 | Statement: [Dutch Mauritius, earliestPermanentSettlement, 1638]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestPermanentSettlement Context triple: [Dutch Mauritius, earliestPermanentSettlement, 1638]
-
A.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
B.
earliestStructuresDateFrom
Indicates that the earliest known structures associated with an entity originate or were first constructed in a specified time period or date.
-
C.
hadPrimarySettlementPattern
Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
-
D.
earliestRecordedFortification
Indicates that the subject is the earliest known or first historically recorded example of a particular fortification associated with the object.
-
E.
archaeologicallyExploredSince
Indicates that a place or site has been subject to archaeological exploration starting from a specified point in time.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:33 p.m.