Triple
T14572122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Shipyards port |
E341942
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Haifa Bay |
E68709
|
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: Haifa Bay | Statement: [Israel Shipyards port, locatedIn, Haifa Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haifa Bay Context triple: [Israel Shipyards port, locatedIn, Haifa Bay]
-
A.
Bay of Haifa
chosen
The Bay of Haifa is a Mediterranean bay on Israel’s northern coast, forming the natural harbor that fronts the city of Haifa and its major port.
-
B.
Ramla Bay
Ramla Bay is a renowned red-sand beach on the island of Gozo in Malta, celebrated for its natural beauty and historical significance.
-
C.
Latakia Bay
Latakia Bay is a coastal inlet of the Mediterranean Sea along Syria’s western shoreline, adjacent to the port city of Latakia.
-
D.
Naama Bay
Naama Bay is a popular resort and entertainment district in Sharm El Sheikh, Egypt, known for its beaches, hotels, nightlife, and coral reef diving.
-
E.
Kuwait Bay
Kuwait Bay is a shallow, semi-enclosed inlet of the Persian Gulf along the coast of Kuwait, known for its ecological importance and its role in the country’s maritime and urban landscape.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.