Triple
T11321627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INNSA |
E268106
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Nhava Sheva |
E355735
|
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: Nhava Sheva | Statement: [INNSA, represents, Nhava Sheva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nhava Sheva Context triple: [INNSA, represents, Nhava Sheva]
-
A.
Nhava Sheva
chosen
Nhava Sheva, also known as Jawaharlal Nehru Port, is India’s largest container port located across the harbor from Mumbai.
-
B.
Ramat Yishai
Ramat Yishai is a small local council town in northern Israel’s Jezreel Valley, known for its residential character and proximity to major Galilee and Haifa-area communities.
-
C.
Ra'anana
Ra'anana is a prosperous suburban city in central Israel known for its high quality of life, strong education system, and significant high-tech and business presence.
-
D.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
E.
Beer Sheva
Beer Sheva is a major city in southern Israel, often considered the capital of the Negev desert region and an important academic and technological hub.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713122ef8819086c8d7e37c00a1c2 |
completed | April 21, 2026, 6:02 a.m. |
Created at: April 8, 2026, 9:32 p.m.