Triple
T6176992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intu Derby |
E137844
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Intu
Intu was a British shopping centre management and development company known for owning and operating major retail complexes across the UK.
|
E574444
|
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: Intu | Statement: [Intu Derby, brand, Intu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intu Context triple: [Intu Derby, brand, Intu]
-
A.
Ilus
Ilus is a figure in Greek mythology known as a descendant of Dardanus and an early ancestor in the royal line of Troy.
-
B.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
C.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
D.
Toffia
Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
-
E.
Iturea
Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
- 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: Intu Triple: [Intu Derby, brand, Intu]
Generated description
Intu was a British shopping centre management and development company known for owning and operating major retail complexes across the UK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Intu Target entity description: Intu was a British shopping centre management and development company known for owning and operating major retail complexes across the UK.
-
A.
Ilus
Ilus is a figure in Greek mythology known as a descendant of Dardanus and an early ancestor in the royal line of Troy.
-
B.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
C.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
D.
Toffia
Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
-
E.
Iturea
Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc87bc48190834042d9c41d5b86 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141bb426881908d5a1451b3619f03 |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1467ef4d48190b714823935318c0a |
completed | March 23, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146f59d9881908fdc6c0137f0ead7 |
completed | March 23, 2026, 1:58 p.m. |
Created at: March 22, 2026, 4:18 p.m.