Triple
T13149908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Templer Society |
E312436
|
entity |
| Predicate | foundedColony |
P160
|
FINISHED |
| Object | Sarona |
E79500
|
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: Sarona | Statement: [German Templer Society, foundedColony, Sarona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarona Context triple: [German Templer Society, foundedColony, Sarona]
-
A.
Sarona
chosen
Sarona is a restored historical neighborhood and popular leisure district in central Tel Aviv, known for its preserved Templar buildings, upscale restaurants, and shopping.
-
B.
Sahra
Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
-
C.
Gannushkina
Gannushkina is a Russian surname most notably associated with Svetlana Gannushkina, a prominent human rights activist and mathematician.
-
D.
Shela
Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
-
E.
Auraiya
Auraiya is a city in the Indian state of Uttar Pradesh known as an administrative and commercial center in the central part of the state.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5da0f708190b848601e571a9fff |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:11 p.m.