Triple
T10295921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Florence |
E241486
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Pullman |
E523140
|
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: Pullman | Statement: [Hotel Florence, neighborhood, Pullman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pullman Context triple: [Hotel Florence, neighborhood, Pullman]
-
A.
Pullman
Pullman is a surname most notably associated with American actor Bill Pullman, known for his roles in films such as "Independence Day" and "While You Were Sleeping."
-
B.
Pullman
Pullman is a small college town in southeastern Washington State best known as the home of Washington State University.
-
C.
Pullman Works
chosen
Pullman Works was a major railcar manufacturing and repair facility historically associated with the Pullman Company in Chicago, Illinois.
-
D.
Pullman sleeping car
The Pullman sleeping car was a luxurious railroad passenger car introduced in the 19th century that provided comfortable overnight accommodations and helped transform long-distance train travel.
-
E.
600 Pullman
The 600 Pullman is a legendary ultra-luxury limousine produced by Mercedes-Benz in the 1960s and 1970s, renowned for its advanced engineering, opulent appointments, and frequent use by heads of state and celebrities.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ea9b3c8190b11518b259d5825c |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d23f49081909aea149c6b219354 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:43 a.m.