Triple
T27851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiestas Patrias |
E556
|
entity |
| Predicate | mayExtendTo |
P2150
|
FINISHED |
| Object | long weekend |
—
|
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: long weekend | Statement: [Fiestas Patrias, mayExtendTo, long weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayExtendTo Context triple: [Fiestas Patrias, mayExtendTo, long weekend]
-
A.
extendsTo
Indicates that one entity reaches, stretches, or continues its scope, influence, or coverage up to or into another entity.
-
B.
susceptibleTo
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
C.
annexedBy
Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
-
D.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
E.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
- F. None of above. chosen
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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249246968819099985f13127063d2 |
completed | Feb. 28, 2026, 1:47 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.