Triple
T2746433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange (France) |
E60879
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Orange (United States) |
E171690
|
NE FINISHED |
How this triple was built (2 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: Orange (United States) | Statement: [Orange (France), twinTown, Orange (United States)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange (United States) Context triple: [Orange (France), twinTown, Orange (United States)]
-
A.
Orange (city)
Orange is a historic town in southeastern France, renowned for its well-preserved Roman monuments including a UNESCO-listed ancient theatre and triumphal arch.
-
B.
Orange, California
chosen
Orange, California is a historic city in Orange County known for its preserved Old Towne district with many early 20th-century homes and buildings.
-
C.
Dallas, Oregon
Dallas, Oregon is a small city in Polk County that serves as the county seat and lies within Oregon’s agriculturally rich Willamette Valley.
-
D.
Orlando
Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
-
E.
Orlando
Orlando is a historic township area within Soweto, South Africa, known for its central role in the anti-apartheid struggle and vibrant local culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ed6bc8190876c1d188b97692b |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbd0f3a08190bf33a937ae9749c7 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:56 p.m.