Triple
T9291329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tourcoing |
E223523
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Rosh HaAyin |
E647332
|
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: Rosh HaAyin | Statement: [Tourcoing, twinTown, Rosh HaAyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosh HaAyin Context triple: [Tourcoing, twinTown, Rosh HaAyin]
-
A.
Rosh HaAyin
chosen
Rosh HaAyin is a city in central Israel known for its rapid development, diverse population, and proximity to major transportation routes and employment centers.
-
B.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
C.
Givatayim
Givatayim is a small, densely populated city in Israel’s Tel Aviv metropolitan area, known for its residential character and proximity to major urban centers.
-
D.
Kiryat Ono
Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
-
E.
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.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0865a7108190b807afd259980db2 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.