Triple
T5719426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abrantes |
E126104
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Fontes
Fontes is a civil parish located within the municipality of Abrantes in central Portugal.
|
E540298
|
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: Fontes | Statement: [Abrantes, hasParish, Fontes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontes Context triple: [Abrantes, hasParish, Fontes]
-
A.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
B.
Fuente de Todos
Fuente de Todos is the original spring or water source after which the Spanish village of Fuendetodos, birthplace of painter Francisco Goya, is named.
-
C.
La Source
La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
-
D.
Fuentes Brotantes
Fuentes Brotantes is a neighborhood and natural park area in Mexico City known for its springs, green spaces, and recreational facilities within the Tlalpan borough.
-
E.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
- 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: Fontes Triple: [Abrantes, hasParish, Fontes]
Generated description
Fontes is a civil parish located within the municipality of Abrantes in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fontes Target entity description: Fontes is a civil parish located within the municipality of Abrantes in central Portugal.
-
A.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
B.
Fuente de Todos
Fuente de Todos is the original spring or water source after which the Spanish village of Fuendetodos, birthplace of painter Francisco Goya, is named.
-
C.
La Source
La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
-
D.
Fuentes Brotantes
Fuentes Brotantes is a neighborhood and natural park area in Mexico City known for its springs, green spaces, and recreational facilities within the Tlalpan borough.
-
E.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e1ec7c8190a08e1b7954db2a9d |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7db0788190b4a5e7b5d9c94588 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:46 p.m.