Triple
T4359808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lod |
E98635
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Ramla |
E64142
|
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: Ramla | Statement: [Lod, hasNearbyCity, Ramla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramla Context triple: [Lod, hasNearbyCity, Ramla]
-
A.
Ramla
chosen
Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
-
B.
Qalqilya
Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
-
C.
al-Bireh
al-Bireh is a Palestinian city in the central West Bank that forms a twin urban center with nearby Ramallah and serves as an important administrative and commercial hub.
-
D.
Ashdod
Ashdod is a major coastal city in southern Israel that serves as an important cultural and religious hub, including for the Karaite Jewish community.
-
E.
Hebron
Hebron is a small New England town in central Connecticut known for its rural character, historic charm, and annual agricultural fair.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa0121b48190899cb4be8b87a93b |
completed | March 21, 2026, 1:53 a.m. |
Created at: March 12, 2026, 11:16 p.m.