Triple
T29190254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Country |
E739970
|
entity |
| Predicate | associatedWithRelationship |
P204051
|
FINISHED |
| Object | Anakin Skywalker and Padmé Amidala |
E216463
|
NE 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: Anakin Skywalker and Padmé Amidala | Statement: [Lake Country, associatedWithRelationship, Anakin Skywalker and Padmé Amidala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRelationship Context triple: [Lake Country, associatedWithRelationship, Anakin Skywalker and Padmé Amidala]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
associatedWithAttribute
Indicates that one entity is linked to, characterized by, or described through a particular attribute.
-
C.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
D.
associatedWithCustom
Indicates a relationship where one entity is linked to or connected with another entity in a non-standard, user-defined, or customized manner.
-
E.
associatedWithResource
Indicates a relationship in which an entity is linked or connected to a particular resource, such that the resource is relevant or applicable to that entity.
- F. None of above. chosen
Provenance (5 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a255083d3888190b44fa696b4f5bc68 |
completed | June 7, 2026, 11:05 a.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_6a03142984848190b35c2636c73376af |
completed | May 12, 2026, 11:51 a.m. |
Created at: April 28, 2026, 12:01 p.m.