Triple
T14956816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro City |
E372951
|
entity |
| Predicate | hasOrganization |
P629
|
FINISHED |
| Object |
Metro City News
Metro City News is a local news organization that provides residents of Metro City with coverage of community events, politics, and regional developments.
|
E1129258
|
NE FINISHED |
How this triple was built (4 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: Metro City News | Statement: [Metro City, hasOrganization, Metro City News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro City News Context triple: [Metro City, hasOrganization, Metro City News]
-
A.
CityNews
CityNews is a Canadian local news organization and broadcast brand known for providing city-focused television, radio, and digital news coverage in major urban markets.
-
B.
the City
The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
-
C.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
D.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
-
E.
Metro City
Metro City is a fictional, crime-ridden American metropolis featured as the primary location in Capcom’s beat ’em up video game series Final Fight.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metro City News Triple: [Metro City, hasOrganization, Metro City News]
Generated description
Metro City News is a local news organization that provides residents of Metro City with coverage of community events, politics, and regional developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metro City News Target entity description: Metro City News is a local news organization that provides residents of Metro City with coverage of community events, politics, and regional developments.
-
A.
CityNews
CityNews is a Canadian local news organization and broadcast brand known for providing city-focused television, radio, and digital news coverage in major urban markets.
-
B.
the City
The City is London's historic and financial district, renowned as one of the world's leading centers for banking, insurance, and global finance.
-
C.
CITY
CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
-
D.
Metro City
Metro City is a fictional, crime-ridden American metropolis featured as the primary location in Capcom’s beat ’em up video game series Final Fight.
-
E.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
- F. None of above. chosen
Provenance (5 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9e74fc8190bdd10a25c39829f3 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83269020819085b904e080578580 |
completed | May 9, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe83ccc73881909c28c53052c4cd86 |
completed | May 9, 2026, 12:46 a.m. |
Created at: April 10, 2026, 2:40 a.m.