Triple
T15744009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associated Dry Goods |
E381671
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object |
Pizitz
Pizitz was a prominent regional department store chain based in Birmingham, Alabama, known for its role as a major Southern retailer in the 20th century.
|
E1174259
|
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: Pizitz | Statement: [Associated Dry Goods, owned, Pizitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pizitz Context triple: [Associated Dry Goods, owned, Pizitz]
-
A.
Pitasch
Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
-
B.
Pettnasco
Pettnasco is a small Italian town situated on the shores of Lake Orta in the Piedmont region.
-
C.
Moco
Moco is the nickname of Brazilian Formula One driver José Carlos Pace, remembered for his Grand Prix victory and the Interlagos circuit later being named in his honor.
-
D.
Pecile
Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
-
E.
Pister
Pister is a German surname most notably borne by Hermann Pister, a Nazi SS officer and commandant of the Buchenwald concentration camp.
- 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: Pizitz Triple: [Associated Dry Goods, owned, Pizitz]
Generated description
Pizitz was a prominent regional department store chain based in Birmingham, Alabama, known for its role as a major Southern retailer in the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pizitz Target entity description: Pizitz was a prominent regional department store chain based in Birmingham, Alabama, known for its role as a major Southern retailer in the 20th century.
-
A.
Pitasch
Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
-
B.
Pettnasco
Pettnasco is a small Italian town situated on the shores of Lake Orta in the Piedmont region.
-
C.
Moco
Moco is the nickname of Brazilian Formula One driver José Carlos Pace, remembered for his Grand Prix victory and the Interlagos circuit later being named in his honor.
-
D.
Pecile
Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
-
E.
Pister
Pister is a German surname most notably borne by Hermann Pister, a Nazi SS officer and commandant of the Buchenwald concentration camp.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69ff83ca33d08190816130bf2ea735df |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.