Triple
T13705057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Harbour |
E328617
|
entity |
| Predicate | primaryEconomicRoleCurrent |
P110022
|
FINISHED |
| Object | tourism and recreation |
—
|
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: tourism and recreation | Statement: [Old Harbour, primaryEconomicRoleCurrent, tourism and recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEconomicRoleCurrent Context triple: [Old Harbour, primaryEconomicRoleCurrent, tourism and recreation]
-
A.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
B.
currentPrimaryRole
chosen
Indicates the role an entity is presently holding as its main or most important function or position.
-
C.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
D.
positionOnGovernmentRoleInEconomy
Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
-
E.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
- F. None of above.
Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.