Triple
T35243723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Candeleda |
E1017599
|
entity |
| Predicate | economicRights |
P98173
|
FINISHED |
| Object | collection of rents |
—
|
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: collection of rents | Statement: [Lord of Candeleda, economicRights, collection of rents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRights Context triple: [Lord of Candeleda, economicRights, collection of rents]
-
A.
hasEconomicRights
chosen
Indicates that an entity holds legally or contractually recognized rights to benefit economically from another entity, asset, or activity.
-
B.
rightsCategory
Indicates the classification or type of rights associated with an entity or relationship.
-
C.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
D.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
E.
exercisedRights
Indicates that an entity has actively used or carried out rights or entitlements it holds.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:02 p.m.