Triple
T749555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidelberg |
E15415
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Rehovot
Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
|
E110760
|
NE FINISHED |
How this triple was built (4 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: Rehovot | Statement: [Heidelberg, hasTwinTown, Rehovot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rehovot Context triple: [Heidelberg, hasTwinTown, Rehovot]
-
A.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
B.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
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.
Bat Yam
Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
-
E.
Safed
Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rehovot Triple: [Heidelberg, hasTwinTown, Rehovot]
Generated description
Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rehovot Target entity description: Rehovot is a city in central Israel known for its scientific and agricultural research institutions, including the Weizmann Institute of Science.
-
A.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
B.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
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.
Bat Yam
Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
-
E.
Safed
Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
- F. None of above. chosen
Provenance (5 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6304e0c8190827fb57c5cac2da9 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826c85e008190a7bba05607312192 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83f42a2b0819093838d15a9406740 |
completed | March 4, 2026, 2:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a83fca462c8190aefe0f53fce8dfc6 |
completed | March 4, 2026, 2:20 p.m. |
Created at: March 1, 2026, 7:37 p.m.