Triple
T23666889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nossa Senhora de Lourdes |
E584602
|
entity |
| Predicate | primaryEconomicProfile |
P2987
|
FINISHED |
| Object | rural |
—
|
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: rural | Statement: [Nossa Senhora de Lourdes, primaryEconomicProfile, rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEconomicProfile Context triple: [Nossa Senhora de Lourdes, primaryEconomicProfile, rural]
-
A.
socioEconomicBase
Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
-
B.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
-
C.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
D.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
E.
formerEconomicActivity
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40c48088190a61e9a73919bace5 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.