Triple
T6225119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer |
E139210
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
downtown Homer
Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
|
E576860
|
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: downtown Homer | Statement: [Homer, hasPart, downtown Homer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Homer Context triple: [Homer, hasPart, downtown Homer]
-
A.
Downtown Brown
Downtown Brown is a fictional character portrayed by actor Tim Reid, best known as a supporting role in his television work.
-
B.
Downtown Homewood
Downtown Homewood is the central commercial and social hub of Homewood, Alabama, known for its walkable streets, local shops, and restaurants.
-
C.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
-
D.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
E.
Downtown
Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
- 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: downtown Homer Triple: [Homer, hasPart, downtown Homer]
Generated description
Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: downtown Homer Target entity description: Downtown Homer is the central commercial and cultural district of Homer, Alaska, known for its small-town charm, local shops, eateries, and access to scenic coastal views.
-
A.
Downtown Brown
Downtown Brown is a fictional character portrayed by actor Tim Reid, best known as a supporting role in his television work.
-
B.
Downtown Homewood
Downtown Homewood is the central commercial and social hub of Homewood, Alabama, known for its walkable streets, local shops, and restaurants.
-
C.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
-
D.
Downtown
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
-
E.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d42c688190be4d8d8325d6daaa |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dd3dc5c8190bf48da3a90863727 |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c21131f31881909704aac2130d25a7 |
completed | March 24, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2118792948190b54b6b54d52d291d |
completed | March 24, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:22 p.m.