Triple
T36336389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1692 Jamaica earthquake |
E894797
|
entity |
| Predicate | primaryAffectedSettlement |
P13187
|
FINISHED |
| Object | Port Royal |
E258745
|
NE 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: Port Royal | Statement: [1692 Jamaica earthquake, primaryAffectedSettlement, Port Royal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAffectedSettlement Context triple: [1692 Jamaica earthquake, primaryAffectedSettlement, Port Royal]
-
A.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
B.
primarySettlementOrigin
Indicates that one settlement is the main or original source from which another settlement was founded or developed.
-
C.
mainSettlement
chosen
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
D.
hasPrimarySettlementsLocation
Indicates that the primary settlements of an entity are located in or associated with a specified place or geographic area.
-
E.
primaryLocationIn
Indicates that an entity’s main or most significant location is within or at the referenced place.
- F. None of above.
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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a380775408190b6c0b03478bfee6a |
completed | June 23, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.