Triple
T979292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böblingen |
E21129
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Givat Shmuel |
E160047
|
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: Givat Shmuel | Statement: [Böblingen, hasTwinTown, Givat Shmuel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givat Shmuel Context triple: [Böblingen, hasTwinTown, Givat Shmuel]
-
A.
Giv'at Shmuel
chosen
Giv'at Shmuel is a city in central Israel, part of the Tel Aviv metropolitan area and known for its largely religious-Zionist community and proximity to Bar-Ilan University.
-
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.
Yokneam Illit
Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
-
D.
Rehovot
Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
-
E.
Migdal HaEmek
Migdal HaEmek is a city in northern Israel known for its development-town origins and location in the Jezreel Valley.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b479e8f081908183448c36244e1f |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c8c828481909013039009446dc0 |
completed | March 8, 2026, 6:51 a.m. |
Created at: March 1, 2026, 7:40 p.m.