Triple
T2735619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herzliya |
E60622
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Herzliya Marina |
E293325
|
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: Herzliya Marina | Statement: [Herzliya, hasPort, Herzliya Marina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzliya Marina Context triple: [Herzliya, hasPort, Herzliya Marina]
-
A.
Herzliya Beach
chosen
Herzliya Beach is a popular Mediterranean seaside destination in the Israeli city of Herzliya, known for its wide sandy shores, marinas, and vibrant waterfront promenade.
-
B.
Port of Tel Aviv
The Port of Tel Aviv is a historic former commercial harbor on Israel’s Mediterranean coast that has been transformed into a popular waterfront leisure, dining, and cultural district.
-
C.
Nhava Sheva Port
Nhava Sheva Port is India’s largest container port, located near Mumbai on the Arabian Sea and serving as a major hub for the country’s maritime trade.
-
D.
Eilat
Eilat is Israel’s southernmost city and a major Red Sea resort and port known for its beaches, coral reefs, and tourism.
-
E.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb1022488190af84e536946b2e37 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc430ec8190a54f805cd0067b97 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.