Triple
T1746858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Loulé |
E38353
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Cavaleiro
Cavaleiro is a small locality within the municipality of Loulé in Portugal’s Algarve region.
|
E195662
|
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: Cavaleiro | Statement: [Municipality of Loulé, hasLocality, Cavaleiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavaleiro Context triple: [Municipality of Loulé, hasLocality, Cavaleiro]
-
A.
Ritter
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
B.
Three Knights
Three Knights are a group of characters in T.S. Eliot’s play "Murder in the Cathedral" who serve as the king’s agents and later attempt to justify the assassination of Thomas Becket.
-
C.
White Knight
White Knight is a high-altitude, twin-boom jet-powered carrier aircraft developed by Scaled Composites to air-launch experimental spacecraft such as SpaceShipOne.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Mousai
Mousai is the collective name for the Muses, the inspirational goddesses of the arts, literature, and sciences in Greek mythology.
- 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: Cavaleiro Triple: [Municipality of Loulé, hasLocality, Cavaleiro]
Generated description
Cavaleiro is a small locality within the municipality of Loulé in Portugal’s Algarve region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cavaleiro Target entity description: Cavaleiro is a small locality within the municipality of Loulé in Portugal’s Algarve region.
-
A.
Ritter
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
B.
Three Knights
Three Knights are a group of characters in T.S. Eliot’s play "Murder in the Cathedral" who serve as the king’s agents and later attempt to justify the assassination of Thomas Becket.
-
C.
White Knight
White Knight is a high-altitude, twin-boom jet-powered carrier aircraft developed by Scaled Composites to air-launch experimental spacecraft such as SpaceShipOne.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Mousai
Mousai is the collective name for the Muses, the inspirational goddesses of the arts, literature, and sciences in Greek mythology.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63eabdf48190878ecde3d1b1faf3 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e058948190939e936af8f0e221 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a2122481909c7a3470e090af17 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada23515d08190833ad1a35bb7a265 |
completed | March 8, 2026, 4:22 p.m. |
Created at: March 4, 2026, 7:31 p.m.