Triple
T37855328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Lerín |
E944173
|
entity |
| Predicate | isSubsidiaryDignity |
P189279
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Count of Lerín, isSubsidiaryDignity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubsidiaryDignity Context triple: [Count of Lerín, isSubsidiaryDignity, true]
-
A.
denotesDignity
Indicates that one entity confers, expresses, or is associated with the dignity or honorable status of another entity.
-
B.
coreSubsidiaryOf
Indicates that one entity is a primary or central subsidiary that is owned or controlled by another entity.
-
C.
holdsDignity
Indicates that an entity possesses or maintains a state of honor, respect, or moral worth in relation to another entity or context.
-
D.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
-
E.
isHonor
Indicates that one entity is regarded as an honor, distinction, or source of prestige for another 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.