Triple
T14793333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interactive Software Engineering |
E347709
|
entity |
| Predicate | coreTechnology |
P19268
|
FINISHED |
| Object | Eiffel |
E96205
|
NE FINISHED |
How this triple was built (2 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: Eiffel | Statement: [Interactive Software Engineering, coreTechnology, Eiffel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eiffel Context triple: [Interactive Software Engineering, coreTechnology, Eiffel]
-
A.
Eiffel
Eiffel is a French surname most famously associated with engineer Gustave Eiffel, designer of the Eiffel Tower in Paris.
-
B.
Eiffel
chosen
Eiffel is an object-oriented programming language designed by Bertrand Meyer, known for its emphasis on software correctness through the Design by Contract methodology.
-
C.
Eiffel Tower
The Eiffel Tower is a wrought-iron lattice tower in Paris, France, and one of the most recognizable landmarks and symbols of the country.
-
D.
Iron Tower
The Iron Tower is a historic medieval watchtower and former city gate located in Mainz, Germany.
-
E.
Trocadéro
Trocadéro is a prominent area in Paris known for its grand esplanade and panoramic views of the Eiffel Tower, historically associated with major exhibitions and cultural events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5ec43c8190ad7a10a556519bb0 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a4f71881909c3c1cc09fe89a60 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:31 a.m.