Triple
T20999458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salon-de-Provence |
E517244
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Raanana |
—
|
NE NERFINISHED |
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: Raanana | Statement: [Salon-de-Provence, hasTwinTown, Raanana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raanana Context triple: [Salon-de-Provence, hasTwinTown, Raanana]
-
A.
Shinar
Shinar is an ancient biblical region, often associated with Mesopotamia and the setting of narratives such as the Tower of Babel.
-
B.
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
C.
Nhava Sheva
Nhava Sheva, also known as Jawaharlal Nehru Port, is India’s largest container port located across the harbor from Mumbai.
-
D.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
E.
Ra'anana
chosen
Ra'anana is a prosperous suburban city in central Israel known for its high quality of life, strong education system, and significant high-tech and business presence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc2395108190871e173354e4ef6f |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.