Triple
T7785016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalaupapa Peninsula |
E187219
|
entity |
| Predicate | startOfLeprosySettlement |
P78995
|
FINISHED |
| Object | 1860s |
—
|
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: 1860s | Statement: [Kalaupapa Peninsula, startOfLeprosySettlement, 1860s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfLeprosySettlement Context triple: [Kalaupapa Peninsula, startOfLeprosySettlement, 1860s]
-
A.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
B.
firstHermitSettlementCentury
Indicates the century during which the first hermit settlement associated with a given entity was established.
-
C.
resettlementStart
Indicates the point in time when a process of relocating people or communities to a new place begins.
-
D.
firstPermanentSettler
Indicates that the subject is the earliest individual or group to establish a lasting, continuous residence in the location or entity specified by the object.
-
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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
| PDg | Predicate description generation | batch_69cae7e47c5c8190bca90d45b3cdc25e |
completed | March 30, 2026, 9:15 p.m. |
Created at: March 30, 2026, 4:23 p.m.