Triple
T33215430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Veendam |
E850276
|
entity |
| Predicate | laterEconomicRole |
P75317
|
FINISHED |
| Object | regional industrial center |
—
|
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: regional industrial center | Statement: [municipality of Veendam, laterEconomicRole, regional industrial center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterEconomicRole Context triple: [municipality of Veendam, laterEconomicRole, regional industrial center]
-
A.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
B.
economicRolePast
Indicates that an entity previously held a specific economic function, position, or role in the past.
-
C.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
D.
positionOnGovernmentRoleInEconomy
Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
-
E.
laterOperationalRole
chosen
Indicates that an entity assumes or is assigned a subsequent operational role after an earlier one in time.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 1, 2026, 1:30 a.m.