Triple
T2142578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Défense |
E46791
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Tour Total
Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
|
E236674
|
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: Tour Total | Statement: [La Défense, hasLandmark, Tour Total]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Total Context triple: [La Défense, hasLandmark, Tour Total]
-
A.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
B.
Avalon Travel
Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
-
C.
Tours
Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
-
D.
Universal Destinations & Experiences
Universal Destinations & Experiences is the theme park and resort division of NBCUniversal that develops and operates Universal-branded entertainment destinations worldwide.
-
E.
Grey Line
Grey Line is one of the corridors of the Delhi Metro rapid transit system in Delhi, 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: Tour Total Triple: [La Défense, hasLandmark, Tour Total]
Generated description
Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tour Total Target entity description: Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
-
A.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
B.
Avalon Travel
Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
-
C.
Tours
Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
-
D.
Universal Destinations & Experiences
Universal Destinations & Experiences is the theme park and resort division of NBCUniversal that develops and operates Universal-branded entertainment destinations worldwide.
-
E.
Grey Line
Grey Line is one of the corridors of the Delhi Metro rapid transit system in Delhi, 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_69ae52d29d708190809ee4d5047b2755 |
completed | March 9, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae532ec8808190b1ecd8c4f66df30d |
completed | March 9, 2026, 4:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.