Triple
T15487077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegburg |
E377073
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Karmiel |
E140981
|
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: Karmiel | Statement: [Siegburg, hasTwinTown, Karmiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karmiel Context triple: [Siegburg, hasTwinTown, Karmiel]
-
A.
Karmiel
chosen
Karmiel is a modern planned city in northern Israel, located in the Galilee and known for its residential neighborhoods, industrial zones, and cultural festivals.
-
B.
Kiryat Shmona
Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
-
C.
Kiryat Malakhi
Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
-
D.
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.
-
E.
Kiryat Haim
Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8f71a08190a440ff19dcc65312 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035450810819092796c556dfa8ed3 |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 3:48 a.m.