Triple
T21365832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nhava Island |
E526909
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nhava |
—
|
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: Nhava | Statement: [Nhava Island, alsoKnownAs, Nhava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nhava Context triple: [Nhava Island, alsoKnownAs, Nhava]
-
A.
Nhava
chosen
Nhava is a coastal village in Navi Mumbai, Maharashtra, India, situated near the Jawaharlal Nehru Port (Nhava Sheva) and known historically for its fishing community and maritime connections.
-
B.
Madha
Madha is an Omani exclave town surrounded by the United Arab Emirates, known for its unique geopolitical position and belonging administratively to Oman’s Musandam Governorate.
-
C.
Naha
Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a major political, economic, and cultural center of the Ryukyu Islands.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Nawada
Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06ec4208190b9ed3484afd85852 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:09 p.m.