Triple
T38261697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 London |
E1017943
|
entity |
| Predicate | hasGlobalAffiliation |
P190779
|
FINISHED |
| Object | 42 Foundation |
—
|
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: 42 Foundation | Statement: [42 London, hasGlobalAffiliation, 42 Foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalAffiliation Context triple: [42 London, hasGlobalAffiliation, 42 Foundation]
-
A.
hasAffiliationScope
Indicates the scope or extent within which an affiliation or association between entities is valid or applies.
-
B.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
C.
hadInternationalAffiliation
Indicates that an entity was formally associated or connected with an organization, institution, or body based in a foreign country or operating across national borders.
-
D.
hasRegionalAffiliation
Indicates that an entity is associated with, belongs to, or is officially linked to a specific geographic region.
-
E.
holderAffiliation
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.