Triple
T96959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Laptop per Child |
E1952
|
entity |
| Predicate | initialPriceTarget |
P4147
|
FINISHED |
| Object | 100 US dollars |
—
|
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: 100 US dollars | Statement: [One Laptop per Child, initialPriceTarget, 100 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialPriceTarget Context triple: [One Laptop per Child, initialPriceTarget, 100 US dollars]
-
A.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
B.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
automaticBidBasis
Indicates that one entity’s bid amount is determined automatically based on a specified rule, condition, or reference value relative to another entity.
-
D.
inflationTargetManagedBy
Indicates that the responsibility for setting, overseeing, or adjusting an inflation target lies with a particular managing authority or entity.
-
E.
isPegged
Indicates that one entity’s value, status, or behavior is fixed or tightly linked to that of another entity, typically so that changes in the reference entity directly determine changes in the pegged entity.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a250cb400c8190b56343bbe19b48c7 |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ebd19c48190bab291fea0ecc0c2 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a250ca7eec8190b31f7e61f5e3ee1f |
completed | Feb. 28, 2026, 2:19 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.