Triple
T3649626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv District |
E77387
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bat Yam |
E47267
|
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: Bat Yam | Statement: [Tel Aviv District, contains, Bat Yam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bat Yam Context triple: [Tel Aviv District, contains, Bat Yam]
-
A.
Bat Yam
chosen
Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
-
B.
بئر السبع
بئر السبع هي مدينة تقع في جنوب فلسطين التاريخية وتُعد مركزًا حضريًا رئيسيًا في منطقة النقب.
-
C.
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.
-
D.
Kiryat Motzkin
Kiryat Motzkin is a coastal city in northern Israel, part of the Haifa metropolitan area and known for its residential neighborhoods and urban parks.
-
E.
Kiryat Shmona
Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38fa1988190b630329700afc3dd |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f01ef3e08190bb5ebfde40787ff2 |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:24 p.m.