Triple
T17494638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Nicholson |
E426024
|
entity |
| Predicate | hasSuburbOnShore |
P47592
|
FINISHED |
| Object | Miramar |
—
|
NE NERFINISHED |
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: Miramar | Statement: [Port Nicholson, hasSuburbOnShore, Miramar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miramar Context triple: [Port Nicholson, hasSuburbOnShore, Miramar]
-
A.
Miramar
Miramar is a historic, upscale neighborhood in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado and Santurce districts.
-
B.
Miramar
Miramar is a renowned novel by Egyptian Nobel laureate Naguib Mahfouz that portrays social and political change in post-revolutionary Egypt through multiple narrators in a shared Alexandria boarding house.
-
C.
Miramar
Miramar is a coastal neighborhood in Panaji (Pangim), Goa, known for its popular beach and proximity to the city center.
-
D.
Miramar
Miramar is an upscale seaside neighborhood in Havana, Cuba, known for its embassies, mansions, and coastal promenade.
-
E.
Miramar
chosen
Miramar is a coastal suburb of Wellington, New Zealand, known for its film industry hub including the famous Wētā Workshop and Wētā FX studios.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d782688190afb76fa080867315 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.