Triple
T19819551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Emporis Skyscraper Award |
E476149
|
entity |
| Predicate | presentedBy |
P83
|
FINISHED |
| Object | Emporis |
—
|
NE NERFINISHED |
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: Emporis | Statement: [2006 Emporis Skyscraper Award, presentedBy, Emporis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emporis Context triple: [2006 Emporis Skyscraper Award, presentedBy, Emporis]
-
A.
Emporis
chosen
Emporis is a global database and information provider specializing in high-rise buildings, architecture, and construction projects.
-
B.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
C.
Pteleon
Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
-
D.
Cortalim
Cortalim is a village in South Goa, India, known for its scenic riverside location, historic churches, and role as a transport hub near the Zuari River.
-
E.
Paragon
Paragon is an upmarket shopping mall and medical-commercial complex located along Singapore’s Orchard Road.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fe0ff8819084bad251b76eff77 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.