Triple
T15744001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associated Dry Goods |
E381671
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object |
Pomeroy’s
Pomeroy’s was a regional American department store chain known for selling a wide range of apparel and household goods before being absorbed into larger retail brands.
|
E1174256
|
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: Pomeroy’s | Statement: [Associated Dry Goods, owned, Pomeroy’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pomeroy’s Context triple: [Associated Dry Goods, owned, Pomeroy’s]
-
A.
Pomeroy
Pomeroy is a surname of English origin that appears as the middle name of the British Army officer George Pomeroy Colley.
-
B.
Pomeroy
Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
-
C.
Pomeroy
Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
-
D.
Bootle-Wilbraham
Bootle-Wilbraham is a British aristocratic family name associated with the peerage and landed gentry.
-
E.
Tallmadge
Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
- 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: Pomeroy’s Triple: [Associated Dry Goods, owned, Pomeroy’s]
Generated description
Pomeroy’s was a regional American department store chain known for selling a wide range of apparel and household goods before being absorbed into larger retail brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pomeroy’s Target entity description: Pomeroy’s was a regional American department store chain known for selling a wide range of apparel and household goods before being absorbed into larger retail brands.
-
A.
Pomeroy
Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
-
B.
Pomeroy
Pomeroy is a surname of English origin that appears as the middle name of the British Army officer George Pomeroy Colley.
-
C.
Pomeroy
Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
-
D.
Bootle-Wilbraham
Bootle-Wilbraham is a British aristocratic family name associated with the peerage and landed gentry.
-
E.
Tallmadge
Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
- 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.