Triple
T9985068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Urban VI |
E196546
|
entity |
| Predicate | papalNameTakenFrom |
P39468
|
FINISHED |
| Object | Urban |
E238890
|
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: Urban | Statement: [Pope Urban VI, papalNameTakenFrom, Urban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urban Context triple: [Pope Urban VI, papalNameTakenFrom, Urban]
-
A.
Urban
chosen
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
-
B.
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
C.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
-
D.
City
City is a monumental land art installation by American artist Michael Heizer, consisting of vast concrete and earth structures spread across the Nevada desert.
-
E.
City Life
City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bf5adc81908c862b75053dd8f1 |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257fe0e348190b55fbd38e21cff7c |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:49 p.m.