Triple
T15107217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nhava Sheva (JNPT) |
E360817
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Sheva |
E268107
|
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: Sheva | Statement: [Nhava Sheva (JNPT), nearbyLocality, Sheva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheva Context triple: [Nhava Sheva (JNPT), nearbyLocality, Sheva]
-
A.
Sheva
chosen
Sheva is a locality in Navi Mumbai, India, known primarily for its proximity to the major Jawaharlal Nehru Port (Nhava Sheva), one of the country’s busiest container ports.
-
B.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
C.
Nassun
Nassun is a central character in N.K. Jemisin's The Broken Earth trilogy, a powerful young orogene whose tumultuous relationship with her mother and evolving abilities drive much of the series' emotional and thematic core.
-
D.
Ramara
Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
-
E.
Shemia
Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e912ac8190bd0e0c9cdbbd0194 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.