Triple
T38052389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzalo de Almagro |
E949799
|
entity |
| Predicate | associatedSurnameOrigin |
P179683
|
FINISHED |
| Object |
Almagro, Ciudad Real, Spain
Almagro, in the province of Ciudad Real, Spain, is a historic town in the region of La Mancha renowned for its well-preserved medieval architecture and famous open-air Corral de Comedias theatre.
|
E2253224
|
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: Almagro, Ciudad Real, Spain | Statement: [Gonzalo de Almagro, associatedSurnameOrigin, Almagro, Ciudad Real, Spain]
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: Almagro, Ciudad Real, Spain Triple: [Gonzalo de Almagro, associatedSurnameOrigin, Almagro, Ciudad Real, Spain]
Generated description
Almagro, in the province of Ciudad Real, Spain, is a historic town in the region of La Mancha renowned for its well-preserved medieval architecture and famous open-air Corral de Comedias theatre.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSurnameOrigin Context triple: [Gonzalo de Almagro, associatedSurnameOrigin, Almagro, Ciudad Real, Spain]
-
A.
associatedSurname
Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
-
B.
familyNameOriginType
Indicates the type or source of origin associated with a person's family name.
-
C.
surnameLikelyOriginRegion
chosen
Indicates the geographic region from which a person’s surname is most likely to have originated.
-
D.
sharesSurnameWithMany
Indicates that an entity has the same surname as a large number of other entities.
-
E.
hasSurnameEthymology
Indicates that an entity’s surname originates from, or is derived based on, a specified source, language, or etymological root.
- F. None of above.
Provenance (6 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4154529f7081909dee88f44f6b479b |
completed | June 28, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_6a415539d7f0819097b84ec74452c300 |
completed | June 28, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4155e5b048819083fa7440a6f9b2b8 |
completed | June 28, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.