Triple
T12499728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembroke, Kentucky |
E298787
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Pembroke
Pembroke is a small rural city located in Christian County in southwestern Kentucky, United States.
|
E987826
|
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: Pembroke | Statement: [Pembroke, Kentucky, hasName, Pembroke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pembroke Context triple: [Pembroke, Kentucky, hasName, Pembroke]
-
A.
Pembroke
Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
-
B.
Pembroke
Pembroke is a small city in southeastern Georgia that serves as the administrative and governmental center of Bryan County.
-
C.
Pembroke
Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
-
D.
Pembroke
Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
-
E.
Pembroke
Pembroke is a given name most notably borne by American film editor Pembroke J. Herring, known for his work on numerous major Hollywood productions.
- 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: Pembroke Triple: [Pembroke, Kentucky, hasName, Pembroke]
Generated description
Pembroke is a small rural city located in Christian County in southwestern Kentucky, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pembroke Target entity description: Pembroke is a small rural city located in Christian County in southwestern Kentucky, United States.
-
A.
Pembroke
Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
-
B.
Pembroke
Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
-
C.
Pembroke
Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
-
D.
Pembroke
Pembroke is a small city in southeastern Georgia that serves as the administrative and governmental center of Bryan County.
-
E.
Pembroke
Pembroke is a given name most notably borne by American film editor Pembroke J. Herring, known for his work on numerous major Hollywood productions.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb131608190b34a07a7026b160e |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:57 p.m.