Triple
T423755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump Tower |
E8160
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Midtown |
E10658
|
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: Midtown | Statement: [Trump Tower, neighborhood, Midtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midtown Context triple: [Trump Tower, neighborhood, Midtown]
-
A.
Midtown South
Midtown South is a central Manhattan commercial and residential district known for its dense office buildings, hotels, and proximity to major transit and shopping hubs.
-
B.
Miracle Mile district
The Miracle Mile district is a historic, museum-rich stretch of Wilshire Boulevard in Los Angeles known for its Art Deco architecture and cultural institutions.
-
C.
Lincoln Square
Lincoln Square is a central public square and traffic circle in downtown Hodgenville, Kentucky, featuring monuments that commemorate the birthplace and legacy of President Abraham Lincoln.
-
D.
Nob Hill
Nob Hill is an affluent, historic San Francisco neighborhood known for its luxury hotels, steep streets, and iconic cable cars.
-
E.
Midtown Manhattan
chosen
Midtown Manhattan is a major commercial and cultural district in New York City, known for its dense concentration of skyscrapers, corporate headquarters, shopping avenues, and iconic landmarks like Times Square and the Empire State Building.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed3e4cc8190ba6aff3bd1adb06f |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42a17403081909bcbbc0fdfdc25dc |
completed | March 1, 2026, 11:59 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.