Triple
T17030848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabacc |
E413188
|
entity |
| Predicate | targetValue |
P7345
|
FINISHED |
| Object | 23 in many versions |
—
|
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: 23 in many versions | Statement: [Sabacc, targetValue, 23 in many versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetValue Context triple: [Sabacc, targetValue, 23 in many versions]
-
A.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
targetInflationRate
Indicates the inflation level that a monetary authority aims to achieve and maintain over a specified period.
-
C.
targetReduction
Indicates a relationship where one entity is intended or expected to decrease, diminish, or lessen another entity by a specified amount or proportion.
-
D.
goalNumber
Indicates that an entity is associated with a specific target or objective quantified as a number.
-
E.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.