Triple
T38218010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadrist political bloc |
E1010736
|
entity |
| Predicate | hasMassBase |
P204546
|
FINISHED |
| Object | grassroots supporters |
—
|
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: grassroots supporters | Statement: [Sadrist political bloc, hasMassBase, grassroots supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassBase Context triple: [Sadrist political bloc, hasMassBase, grassroots supporters]
-
A.
hasMassBaseAmong
Indicates that one entity possesses a fundamental or baseline mass value when considered among a specified group or context.
-
B.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
C.
hasTypeOfMass
Indicates that one entity possesses or is characterized by a particular kind or category of mass.
-
D.
hasMasses
Indicates that one entity possesses or is associated with one or more masses (quantities of matter).
-
E.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.