Triple
T15559544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Spain |
E370958
|
entity |
| Predicate | triesInFirstInstance |
P119181
|
FINISHED |
| Object | members of the Government of Spain in certain cases |
—
|
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: members of the Government of Spain in certain cases | Statement: [Supreme Court of Spain, triesInFirstInstance, members of the Government of Spain in certain cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triesInFirstInstance Context triple: [Supreme Court of Spain, triesInFirstInstance, members of the Government of Spain in certain cases]
-
A.
triesToTake
Indicates an attempt by one entity to take possession or control of another entity or resource, regardless of whether the attempt succeeds.
-
B.
triedAt
Indicates that an attempt to perform an action or achieve an outcome occurred at a specific time or place.
-
C.
replacedEarlierAttempts
Indicates that a current attempt has superseded and taken the place of one or more previous attempts made earlier.
-
D.
attemptNumber
Indicates the specific ordinal count of attempts made for a given action or process.
-
E.
failsAtFirst
Indicates that an attempt at an action or task does not succeed on the first try.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dda3ab88190ab383333ce69fe8f |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.