Triple
T6518078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamarod petition campaign |
E148313
|
entity |
| Predicate | numberOfSignaturesClaimed |
P4946
|
FINISHED |
| Object | 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: millions | Statement: [Tamarod petition campaign, numberOfSignaturesClaimed, millions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSignaturesClaimed Context triple: [Tamarod petition campaign, numberOfSignaturesClaimed, millions]
-
A.
numberOfSignatories
chosen
Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
-
B.
laterSignatoriesCount
Indicates the number of other entities that became signatories after the referenced entity.
-
C.
initialSignatoriesCount
Indicates the number of entities that originally signed or agreed to a document, contract, or agreement at its inception.
-
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.
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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac108abc819082d1368af6611a92 |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.