Triple
T18119128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayalon Valley |
E433686
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lod |
—
|
NE NERFINISHED |
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: Lod | Statement: [Ayalon Valley, locatedNear, Lod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lod Context triple: [Ayalon Valley, locatedNear, Lod]
-
A.
Lod
chosen
Lod is a historic city in central Israel, near Tel Aviv, known for its ancient past and for hosting Ben Gurion International Airport.
-
B.
Lods
Lods is a picturesque village in eastern France known for its historic stone houses and scenic setting along the Loue River.
-
C.
Lodis
The Lodis were an Afghan Muslim dynasty that ruled the late Delhi Sultanate in northern India during the 15th and early 16th centuries, just before the rise of the Mughal Empire.
-
D.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
E.
Loket
Loket is a historic Czech town renowned for its medieval castle and picturesque setting on a bend of the Ohře River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd843e88190abbc173dbc9b450a |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.