Triple
T11540541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Military Counter Terrorism Coalition |
E273660
|
entity |
| Predicate | hasNumberOfMemberStates |
P1590
|
FINISHED |
| Object | 40+ |
—
|
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: 40+ | Statement: [Islamic Military Counter Terrorism Coalition, hasNumberOfMemberStates, 40+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMemberStates Context triple: [Islamic Military Counter Terrorism Coalition, hasNumberOfMemberStates, 40+]
-
A.
numberOfMemberStates
chosen
Indicates the total count of member states associated with a given entity or organization.
-
B.
hasNumberOfRecognizedSovereignStates
Indicates the relationship that specifies how many internationally recognized sovereign states are associated with or contained within a given entity.
-
C.
hasNumberOfCountries
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
D.
hasNonRegionalMemberCountries
Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
-
E.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.