Triple
T30846605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Bayda Governorate |
E785649
|
entity |
| Predicate | hasPresenceOf |
P13931
|
FINISHED |
| Object | Houthi movement |
—
|
NE NERFINISHED |
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: Houthi movement | Statement: [Al Bayda Governorate, hasPresenceOf, Houthi movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresenceOf Context triple: [Al Bayda Governorate, hasPresenceOf, Houthi movement]
-
A.
requiresPresenceIn
Indicates that one entity’s existence, validity, or operation depends on another entity being physically or contextually present.
-
B.
requiresPresence
Indicates that one entity’s existence, operation, or validity depends on another entity being present or available.
-
C.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
D.
hasHumanPresence
chosen
Indicates that humans are physically present in or occupying a given location, object, or context.
-
E.
hasPresentUse
Indicates that an entity is currently being used or serving a particular function at the present time.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: April 29, 2026, 8:46 p.m.