Triple
T5478868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houthi movement |
E123421
|
entity |
| Predicate | claimsCause |
P10437
|
FINISHED |
| Object | defense of Yemen against foreign intervention |
—
|
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: defense of Yemen against foreign intervention | Statement: [Houthi movement, claimsCause, defense of Yemen against foreign intervention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimsCause Context triple: [Houthi movement, claimsCause, defense of Yemen against foreign intervention]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
causeSupported
chosen
Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
-
C.
claimsToExplain
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
D.
claimProcess
Indicates the process by which a claim (such as an insurance or service claim) is received, evaluated, and resolved between involved parties.
-
E.
typeOfClaim
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.