Triple
T6139321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southland |
E136918
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gore
Gore is a rural service town in New Zealand’s Southland region, known for its farming community, country music heritage, and brown trout fishing.
|
E570765
|
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: Gore | Statement: [Southland, hasTown, Gore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gore Context triple: [Southland, hasTown, Gore]
-
A.
Gore
Gore is a surname most prominently associated with Albert Gore Jr., better known as Al Gore, the former U.S. Vice President and environmental advocate.
-
B.
Slaughter
Slaughter is the surname of Louise Slaughter, a long-serving American congresswoman known for her work on health care, ethics, and women's rights.
-
C.
Savage
Savage is the surname of Nigerian singer, songwriter, and actress Tiwa Savage, a prominent figure in contemporary Afrobeats music.
-
D.
Savage
"Savage" is a hit hip-hop single by Megan Thee Stallion that gained widespread popularity, especially through viral dance challenges on social media.
-
E.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
- 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: Gore Triple: [Southland, hasTown, Gore]
Generated description
Gore is a rural service town in New Zealand’s Southland region, known for its farming community, country music heritage, and brown trout fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gore Target entity description: Gore is a rural service town in New Zealand’s Southland region, known for its farming community, country music heritage, and brown trout fishing.
-
A.
Gore
Gore is a surname most prominently associated with Albert Gore Jr., better known as Al Gore, the former U.S. Vice President and environmental advocate.
-
B.
Slaughter
Slaughter is the surname of Louise Slaughter, a long-serving American congresswoman known for her work on health care, ethics, and women's rights.
-
C.
Savage
Savage is the surname of Nigerian singer, songwriter, and actress Tiwa Savage, a prominent figure in contemporary Afrobeats music.
-
D.
Savage
"Savage" is a hit hip-hop single by Megan Thee Stallion that gained widespread popularity, especially through viral dance challenges on social media.
-
E.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c855a2481909801de9fd55686a4 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135ecd62c8190911b98133bf71dfc |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c13679dd58819099036d1119fa370b |
completed | March 23, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1376db6a0819087c0d0aebc2e2b3e |
completed | March 23, 2026, 12:51 p.m. |
Created at: March 22, 2026, 4:15 p.m.