Triple
T25722168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hizb ut-Tahrir |
E645021
|
entity |
| Predicate | recruitsAmong |
P4145
|
FINISHED |
| Object | students |
—
|
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: students | Statement: [Hizb ut-Tahrir, recruitsAmong, students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitsAmong Context triple: [Hizb ut-Tahrir, recruitsAmong, students]
-
A.
recruitsFor
Indicates that one entity actively seeks out, enlists, or brings in participants, members, or resources on behalf of another entity, such as an organization, event, or cause.
-
B.
canBeRecruitedFrom
Indicates that one entity is eligible to be recruited, obtained, or enlisted starting from or via another specified entity or source.
-
C.
recruitedAs
Indicates that one entity has been brought into a role, position, or organization by another through a recruitment process.
-
D.
recruitmentFrom
chosen
Indicates that one entity recruits or sources members, employees, or participants from another entity.
-
E.
classOfRecruit
Indicates that one entity is the class, category, or type to which the recruit entity belongs.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc66d748819086e33b1e6404ffa1 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 10:02 p.m.