Triple
T9321835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindelfingen |
E224283
|
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: [Sindelfingen, hasTwinTown, Givat Shmuel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givat Shmuel Context triple: [Sindelfingen, hasTwinTown, Givat Shmuel]
-
A.
Givat Shaul
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
-
B.
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.
-
C.
Kiryat Yearim
Kiryat Yearim is a small Israeli town with a predominantly ultra-Orthodox Jewish population, located in the hills west of Jerusalem.
-
D.
Beit Shemesh
Beit Shemesh is a rapidly growing city in central Israel, located west of Jerusalem and known for its diverse population and mix of modern neighborhoods and ancient archaeological sites.
-
E.
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.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7d70b1c8190a254f58efc370624 |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:38 p.m.