Triple
T21976772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio de Moinhos (Abrantes) |
E542724
|
entity |
| Predicate | hasTraditionalVillageLife |
P4703
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rio de Moinhos (Abrantes), hasTraditionalVillageLife, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalVillageLife Context triple: [Rio de Moinhos (Abrantes), hasTraditionalVillageLife, true]
-
A.
hasRuralLifestyle
Indicates that an entity lives in or regularly engages in a way of life characteristic of rural areas, such as farming, low population density, and countryside-oriented activities.
-
B.
hasNearbyTraditionalVillage
Indicates that an entity is located close to or in the vicinity of a traditional village.
-
C.
traditionalLifestyle
chosen
Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
-
D.
traditionallyLivedTo
Indicates that an entity customarily or historically resided in a particular place or environment over an extended period.
-
E.
hasVillage
Indicates that an entity possesses, contains, or is associated with a village.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12489889c81909c847cf2f6808d85 |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.