Triple
T37857488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFM Global Infrastructure Fund |
E944231
|
entity |
| Predicate | headManagerCountry |
P189555
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [IFM Global Infrastructure Fund, headManagerCountry, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headManagerCountry Context triple: [IFM Global Infrastructure Fund, headManagerCountry, Australia]
-
A.
managingCountry
Indicates that one country has administrative or managerial authority over another entity, such as a territory, project, or organization.
-
B.
hostCountryLeader
Indicates that the referenced leader is the primary political head of the country in which the related event, visit, or interaction is taking place.
-
C.
adminCountry
Indicates that one entity serves as the administrative or governing country for another entity.
-
D.
countryManaged
Indicates that one entity administers, governs, or oversees the affairs of a country.
-
E.
topLevelCountryThen
Indicates that one entity is a top-level country and is followed or succeeded by another entity in a defined sequence or ordering.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:19 p.m.