Triple
T13929035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gan HaEm station |
E334938
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Gan HaEm |
E334940
|
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: Gan HaEm | Statement: [Gan HaEm station, namedAfter, Gan HaEm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gan HaEm Context triple: [Gan HaEm station, namedAfter, Gan HaEm]
-
A.
Gan HaEm
chosen
Gan HaEm is a central public garden and cultural venue in Haifa, Israel, known for hosting concerts, festivals, and community events.
-
B.
Dayan Ta
Dayan Ta, or the Giant Wild Goose Pagoda, is a historic Buddhist pagoda in Xi’an, China, renowned as a key site on the ancient Silk Road and for housing important Buddhist scriptures.
-
C.
Dov Hoz
Dov Hoz was a prominent early Zionist leader and pioneer of Jewish aviation in pre-state Israel.
-
D.
Hanoch
Hanoch is a biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through Keturah and Midian.
-
E.
Dahn Ben Amotz
Dahn Ben Amotz was an Israeli writer, satirist, and radio broadcaster known for his influential role in shaping modern Israeli culture and humor.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa900a0819095eeb1bc46b0336e |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c67e2c8190a14b273af0d93b0a |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.