Triple
T8591732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masku |
E203442
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Masku (urban area) |
E203442
|
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: Masku (urban area) | Statement: [Masku, administrativeCenter, Masku (urban area)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masku (urban area) Context triple: [Masku, administrativeCenter, Masku (urban area)]
-
A.
Masku municipality
chosen
Masku municipality is a small local government area in Southwest Finland known for its rural landscapes and proximity to the city of Turku.
-
B.
Miyapur
Miyapur is a rapidly developing residential and commercial suburb in the northwestern part of Hyderabad, India.
-
C.
Modasa
Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
-
D.
Honmoku area
The Honmoku area is a coastal district in Yokohama, Japan, known for its historic port-related development and cultural sites such as the traditional Japanese landscape of Sankeien Garden.
-
E.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc466747b88190b752f78f361140cb |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8b584088190bc5b8b2785894d82 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.