Triple
T3502152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower 2 |
E73993
|
entity |
| Predicate | hasTwin |
P2516
|
FINISHED |
| Object | Tower 1 |
E73993
|
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: Tower 1 | Statement: [Tower 2, hasTwin, Tower 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower 1 Context triple: [Tower 2, hasTwin, Tower 1]
-
A.
Tower 2
chosen
Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
-
B.
Orange Tower
Orange Tower is one of the main BBC office and studio buildings at the MediaCityUK complex in Salford, England.
-
C.
Terminal Tower
Terminal Tower is a historic skyscraper in downtown Cleveland, Ohio, that long served as a major office building and transportation hub and was once one of the tallest buildings in the world.
-
D.
Main Tower
Main Tower is a prominent modern skyscraper in Frankfurt am Main, Germany, known for its public observation deck offering panoramic views of the city.
-
E.
Dom Tower
Dom Tower is the iconic medieval church tower of Utrecht in the Netherlands, renowned as the country’s tallest and a prominent symbol of the city.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbef47988190b5b3fe2e452b9ac8 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d88dc08190a8508f990b01cf03 |
completed | March 13, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:18 p.m.