Triple
T1193523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontainebleau |
E25615
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Sintra
Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
|
E145486
|
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: Sintra | Statement: [Fontainebleau, twinTown, Sintra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sintra Context triple: [Fontainebleau, twinTown, Sintra]
-
A.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
B.
Silves
Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
-
C.
Horta
Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
-
D.
Coimbra
Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
-
E.
Queluz, Portugal
Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
- 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: Sintra Triple: [Fontainebleau, twinTown, Sintra]
Generated description
Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sintra Target entity description: Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
-
A.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
B.
Silves
Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
-
C.
Horta
Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
-
D.
Coimbra
Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
-
E.
Queluz, Portugal
Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7743548190a70d3f3c7378aaa7 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99775ca081909e4d8c81c40c277b |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9f0cc1708190877966c6cfdbd2ba |
completed | March 7, 2026, 9:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9f40269081909f45266cfa371888 |
completed | March 7, 2026, 9:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.