Triple
T20682850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour César |
E508337
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
César Tower (English)
César Tower is a medieval stone keep in Provins, France, notable for its distinctive octagonal design and role in the town’s historic fortifications.
|
E1444177
|
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: César Tower (English) | Statement: [Tour César, hasNameInLanguage, César Tower (English)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: César Tower (English) Context triple: [Tour César, hasNameInLanguage, César Tower (English)]
-
A.
Book Tower
The Book Tower is an iconic modernist high-rise library building in Ghent, Belgium, designed by architect Henry van de Velde as a landmark for Ghent University.
-
B.
Cunera Tower
Cunera Tower is a historic church tower and prominent landmark in the Dutch town of Rhenen, known for its striking Gothic architecture and panoramic views.
-
C.
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
-
D.
Torre
Torre is the summit that marks the highest elevation in mainland Portugal, located in the Serra da Estrela mountain range.
-
E.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
- 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: César Tower (English) Triple: [Tour César, hasNameInLanguage, César Tower (English)]
Generated description
César Tower is a medieval stone keep in Provins, France, notable for its distinctive octagonal design and role in the town’s historic fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: César Tower (English) Target entity description: César Tower is a medieval stone keep in Provins, France, notable for its distinctive octagonal design and role in the town’s historic fortifications.
-
A.
Book Tower
The Book Tower is an iconic modernist high-rise library building in Ghent, Belgium, designed by architect Henry van de Velde as a landmark for Ghent University.
-
B.
Cunera Tower
Cunera Tower is a historic church tower and prominent landmark in the Dutch town of Rhenen, known for its striking Gothic architecture and panoramic views.
-
C.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
D.
Torre
Torre is the summit that marks the highest elevation in mainland Portugal, located in the Serra da Estrela mountain range.
-
E.
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:45 a.m.