Triple
T22685538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cidades series |
E560900
|
entity |
| Predicate | titleMeaning |
P4542
|
FINISHED |
| Object | Cities |
—
|
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: Cities | Statement: [Cidades series, titleMeaning, Cities]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cities Context triple: [Cidades series, titleMeaning, Cities]
-
A.
Cities
Cities is a critically acclaimed 2007 studio album by American rock band Anberlin, known for its emotive lyrics and expansive alternative rock sound.
-
B.
Cities
chosen
"Cities" is a song by the American rock band Talking Heads, known for its nervy, rhythmic exploration of urban anxiety and dislocation.
-
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
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178637bc08190a8dfb33b5f4249e5 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.