Triple
T15714677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City and County of Cardiff |
E380930
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gabalfa
Gabalfa is a residential district and electoral ward in the north of Cardiff, Wales, known for its major road junction and mixed housing.
|
E1172051
|
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: Gabalfa | Statement: [City and County of Cardiff, contains, Gabalfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabalfa Context triple: [City and County of Cardiff, contains, Gabalfa]
-
A.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
B.
Balba
Balba is a Roman cognomen (family surname) used by certain members of the Atia gens in ancient Rome.
-
C.
Fufluns
Fufluns is an Etruscan god associated with wine, vegetation, and rebirth, roughly analogous to the Greek Dionysus.
-
D.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- 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: Gabalfa Triple: [City and County of Cardiff, contains, Gabalfa]
Generated description
Gabalfa is a residential district and electoral ward in the north of Cardiff, Wales, known for its major road junction and mixed housing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabalfa Target entity description: Gabalfa is a residential district and electoral ward in the north of Cardiff, Wales, known for its major road junction and mixed housing.
-
A.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
B.
Balba
Balba is a Roman cognomen (family surname) used by certain members of the Atia gens in ancient Rome.
-
C.
Fufluns
Fufluns is an Etruscan god associated with wine, vegetation, and rebirth, roughly analogous to the Greek Dionysus.
-
D.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
-
E.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff763d40348190bf102da746420390 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76ec45948190bee47609c0d2fd10 |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.