Triple
T19738876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford County |
E474058
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Troy
Troy is a small borough in Bradford County, Pennsylvania, known for its rural character and historic downtown.
|
E1392636
|
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: Troy | Statement: [Bradford County, hasSettlement, Troy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Context triple: [Bradford County, hasSettlement, Troy]
-
A.
Troy
Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
-
B.
Troy
Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
-
C.
Troy
Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
-
D.
Troy
Troy is a masculine given name of ancient origin, famously borne by former NFL quarterback Troy Aikman.
-
E.
Troy
"Troy" is a powerful early single by Irish singer-songwriter Sinéad O’Connor, known for its intense emotional delivery and poetic lyrics.
- 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: Troy Triple: [Bradford County, hasSettlement, Troy]
Generated description
Troy is a small borough in Bradford County, Pennsylvania, known for its rural character and historic downtown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troy Target entity description: Troy is a small borough in Bradford County, Pennsylvania, known for its rural character and historic downtown.
-
A.
Troy
Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
-
B.
Troy
Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
-
C.
Troy
Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
-
D.
Troy
Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
-
E.
Troy
Troy is a masculine given name of ancient origin, famously borne by former NFL quarterback Troy Aikman.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4fba58c819090fdfb319096aa0a |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b670aa0481908cc918b32b512712 |
completed | May 16, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6e4ae348190a3783c6a82059793 |
completed | May 16, 2026, 12:14 a.m. |
Created at: April 10, 2026, 1:47 p.m.