Triple
T11789395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Israel) |
E280350
|
entity |
| Predicate | drawnOnMapBy |
P13467
|
FINISHED |
| Object | Israeli negotiators |
—
|
LITERAL 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: Israeli negotiators | Statement: [Green Line (Israel), drawnOnMapBy, Israeli negotiators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawnOnMapBy Context triple: [Green Line (Israel), drawnOnMapBy, Israeli negotiators]
-
A.
cartographyBy
Indicates that one entity is the creator or producer of the cartographic work (such as a map or chart) associated with another entity.
-
B.
paintedOn
Indicates that one entity has been applied as paint onto the surface of another entity.
-
C.
mapsDepict
Indicates that maps visually represent or illustrate the geographic features, locations, or spatial relationships of something.
-
D.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
E.
mapDesigner
chosen
Indicates that an entity is the designer or creator responsible for producing a particular map.
- F. None of above.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a587c2d881909297c3a6c7d26080 |
completed | April 10, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.