Triple
T2570965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestine Railways |
E57663
|
entity |
| Predicate | servedCity |
P3936
|
FINISHED |
| Object | Lydda |
E280367
|
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: Lydda | Statement: [Palestine Railways, servedCity, Lydda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydda Context triple: [Palestine Railways, servedCity, Lydda]
-
A.
Lydda
chosen
Lydda, historically known as Lod, is an ancient city in central Israel/Palestine that has served as a significant crossroads and administrative center since antiquity.
-
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.
Tiberias
Tiberias is an ancient city in northern Israel on the western shore of the Sea of Galilee, historically significant as a major center of Jewish learning and pilgrimage.
-
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.
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.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd382928c8190b6316f3db48d8e73 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83a9c1988190b311da7b3f6b1413 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:48 p.m.