Triple
T5117772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandre Herculano |
E115379
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Vale de Lobos
Vale de Lobos is a locality in Portugal known as the place where the prominent 19th-century writer and historian Alexandre Herculano died.
|
E497570
|
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: Vale de Lobos | Statement: [Alexandre Herculano, deathPlace, Vale de Lobos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vale de Lobos Context triple: [Alexandre Herculano, deathPlace, Vale de Lobos]
-
A.
Campomoro
Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
D.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
-
E.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
- 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: Vale de Lobos Triple: [Alexandre Herculano, deathPlace, Vale de Lobos]
Generated description
Vale de Lobos is a locality in Portugal known as the place where the prominent 19th-century writer and historian Alexandre Herculano died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vale de Lobos Target entity description: Vale de Lobos is a locality in Portugal known as the place where the prominent 19th-century writer and historian Alexandre Herculano died.
-
A.
Campomoro
Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
D.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
-
E.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ce1ea48190b283cae7bb9b72eb |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfcf12448190a196e9397958fbba |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed1d770a88190a3ff820ba878c8a2 |
completed | March 21, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed2303df881908260b27d430f16fc |
completed | March 21, 2026, 5:15 p.m. |
Created at: March 20, 2026, 1:41 p.m.