Triple
T14621610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akko railway station |
E343234
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Nahariya |
E148017
|
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: Nahariya | Statement: [Akko railway station, connectsTo, Nahariya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nahariya Context triple: [Akko railway station, connectsTo, Nahariya]
-
A.
Nahariya
chosen
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
B.
Kiryat Gat
Kiryat Gat is a city in south-central Israel known for its industrial zones, high-tech facilities, and location between the coastal plain and the Negev desert.
-
C.
Kfar Tavor
Kfar Tavor is a small agricultural town in northern Israel, known for its historic Jewish settlement roots and its location at the foot of Mount Tabor in the Lower Galilee.
-
D.
Kissufim
Kissufim is a small kibbutz in southern Israel near the Gaza border, known for its agricultural community and strategic location.
-
E.
Umm al-Fahm
Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dfbc28819090cf56f16b5e7c39 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 1:25 a.m.