Triple
T15687145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm Appeal |
E380229
|
entity |
| Predicate | estimatedNumberOfSignatures |
P119757
|
FINISHED |
| Object | hundreds of millions |
—
|
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: hundreds of millions | Statement: [Stockholm Appeal, estimatedNumberOfSignatures, hundreds of millions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfSignatures Context triple: [Stockholm Appeal, estimatedNumberOfSignatures, hundreds of millions]
-
A.
numberOfSignatories
Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
-
B.
initialSignatoriesCount
Indicates the number of entities that originally signed or agreed to a document, contract, or agreement at its inception.
-
C.
laterSignatoriesCount
Indicates the number of other entities that became signatories after the referenced entity.
-
D.
hasSignatories
Indicates that one or more parties have formally signed or endorsed an agreement, document, or instrument.
-
E.
initialSignatoriesIncluded
Indicates that the specified entities were part of the original group that formally signed or endorsed an agreement or document.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:44 a.m.