Triple
T12923248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahdi Army |
E309175
|
entity |
| Predicate | relationshipToIran |
P107034
|
FINISHED |
| Object | received varying degrees of support from Iranian elements |
—
|
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: received varying degrees of support from Iranian elements | Statement: [Mahdi Army, relationshipToIran, received varying degrees of support from Iranian elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToIran Context triple: [Mahdi Army, relationshipToIran, received varying degrees of support from Iranian elements]
-
A.
relationshipToEmbassy
Indicates the type of formal or personal connection an entity has with a specific embassy.
-
B.
relationshipToAllPalestineGovernment
Indicates the nature or type of relationship an entity has with the All-Palestine Government.
-
C.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
D.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
relationshipWithUN
Indicates the existence or nature of a formal or informal association, affiliation, or interaction between an entity and the United Nations.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:42 p.m.