Triple
T4801172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sección Femenina |
E106833
|
entity |
| Predicate | publication |
P80
|
FINISHED |
| Object |
Medina
Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
|
E472084
|
NE FINISHED |
How this triple was built (4 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: Medina | Statement: [Sección Femenina, publication, Medina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medina Context triple: [Sección Femenina, publication, Medina]
-
A.
Medina
Medina is a holy city in western Saudi Arabia that is revered in Islam as the site of the Prophet Muhammad’s mosque and tomb and the second-holiest city after Mecca.
-
B.
Medina
Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
-
C.
Medina
Medina is a common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
-
D.
City of Medina
The City of Medina is a small, affluent residential community in King County, Washington, located on the eastern shore of Lake Washington across from Seattle.
-
E.
Mecca
Mecca is a small unincorporated community in California’s Coachella Valley known for its agricultural roots and proximity to the Salton Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Medina Triple: [Sección Femenina, publication, Medina]
Generated description
Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medina Target entity description: Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
-
A.
Medina
Medina is a holy city in western Saudi Arabia that is revered in Islam as the site of the Prophet Muhammad’s mosque and tomb and the second-holiest city after Mecca.
-
B.
Medina
Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
-
C.
Medina
Medina is a common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
-
D.
City of Medina
The City of Medina is a small, affluent residential community in King County, Washington, located on the eastern shore of Lake Washington across from Seattle.
-
E.
Mecca
Mecca is a small unincorporated community in California’s Coachella Valley known for its agricultural roots and proximity to the Salton Sea.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c40b3c881909be9fd9ee892993b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d9e1ea88190b098d5203bd1d145 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e61a9a8819096e3c4ba7612de85 |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f0d51ac819097636aaf2429f317 |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:23 p.m.