Triple
T15847909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalin’s skyscrapers |
E384260
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Seven Sisters |
E1177620
|
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: Seven Sisters | Statement: [Stalin’s skyscrapers, alsoKnownAs, Seven Sisters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Sisters Context triple: [Stalin’s skyscrapers, alsoKnownAs, Seven Sisters]
-
A.
Seven Sisters
Seven Sisters is the common name for the Pleiades, a prominent open star cluster in the constellation Taurus visible to the naked eye.
-
B.
Seven Sisters
Seven Sisters is a former coal mining village and community in Neath Port Talbot, Wales.
-
C.
Seven Sisters
Seven Sisters is a district in North London known for its diverse community, busy transport hub, and vibrant high street.
-
D.
Seven Sisters
chosen
Seven Sisters is a group of seven monumental Stalinist skyscrapers in Moscow, renowned for their distinctive wedding-cake design and dominance of the city’s skyline.
-
E.
Seven Sisters
Seven Sisters is a famous row of colorful Victorian and Edwardian houses in San Francisco, often featured in photographs and films as an iconic city landmark.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93fbcb481908e7b7ddc46992f79 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.