Triple
T18075260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajuda National Palace |
E432538
|
entity |
| Predicate | locatedInAdministrativeTerritory |
P40
|
FINISHED |
| Object |
Ajuda
Ajuda is a historic civil parish in western Lisbon, Portugal, known for its royal heritage and prominent landmarks such as the Ajuda National Palace.
|
E1304455
|
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: Ajuda | Statement: [Ajuda National Palace, locatedInAdministrativeTerritory, Ajuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajuda Context triple: [Ajuda National Palace, locatedInAdministrativeTerritory, Ajuda]
-
A.
Ajuda
Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
-
B.
Help
Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
-
C.
Help
"Help" is a song by American rock band Papa Roach, featuring lead vocalist Jacoby Shaddix, known for its emotionally charged lyrics about mental struggle and the need for support.
-
D.
Help
"Help" is a song featured on Tina Turner's acclaimed 1984 album "Private Dancer."
-
E.
Help
Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
- 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: Ajuda Triple: [Ajuda National Palace, locatedInAdministrativeTerritory, Ajuda]
Generated description
Ajuda is a historic civil parish in western Lisbon, Portugal, known for its royal heritage and prominent landmarks such as the Ajuda National Palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ajuda Target entity description: Ajuda is a historic civil parish in western Lisbon, Portugal, known for its royal heritage and prominent landmarks such as the Ajuda National Palace.
-
A.
Ajuda
Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
-
B.
Help
"Help" is a song by American rock band Papa Roach, featuring lead vocalist Jacoby Shaddix, known for its emotionally charged lyrics about mental struggle and the need for support.
-
C.
Help
Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
-
D.
Help
Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
-
E.
Help
"Help" is a song featured on Tina Turner's acclaimed 1984 album "Private Dancer."
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f40c9881909294d538c026d486 |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03567944dc8190acf755c523ecd2fd |
completed | May 12, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_6a035a643c9081909daa111f5692fed8 |
completed | May 12, 2026, 4:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a035ad09e18819081eed396cb445dbc |
completed | May 12, 2026, 4:52 p.m. |
Created at: April 10, 2026, 10:26 a.m.