Triple
T26412493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Alcañices |
E663997
|
entity |
| Predicate | cededToCastile |
P161293
|
FINISHED |
| Object |
Aroche
Aroche is a historic town in southwestern Spain’s Huelva province, near the Portuguese border, known for its medieval castle and archaeological heritage.
|
E1725478
|
NE FINISHED |
How this triple was built (3 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: Aroche | Statement: [Treaty of Alcañices, cededToCastile, Aroche]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aroche Triple: [Treaty of Alcañices, cededToCastile, Aroche]
Generated description
Aroche is a historic town in southwestern Spain’s Huelva province, near the Portuguese border, known for its medieval castle and archaeological heritage.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cededToCastile Context triple: [Treaty of Alcañices, cededToCastile, Aroche]
-
A.
predecessorAsKingOfCastile
Indicates that one entity served as the immediately preceding king of Castile relative to another entity.
-
B.
successorAsKingOfCastile
Indicates that one entity became the next king of Castile following another entity.
-
C.
reignEndAsKingOfCastile
Indicates the date or event when an individual’s rule as King of Castile comes to an end.
-
D.
successorAsRecognizedMonarchOfCastile
Indicates that one entity is the next officially acknowledged monarch of Castile following another entity.
-
E.
successorAsQueenOfCastile
Indicates that one entity became the next reigning queen of Castile following another entity.
- F. None of above. chosen
Provenance (7 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11aebc01b481908c4cf12e4c6efd8e |
completed | May 23, 2026, 1:42 p.m. |
| NEDg | Description generation | batch_6a11b01df9348190a991161aa1fb8018 |
completed | May 23, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11b1230c148190931c49c9df40caa4 |
completed | May 23, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 11:39 p.m.