Triple
T12394554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ein Hod |
E296081
|
entity |
| Predicate | distanceToMediterraneanSea |
P16475
|
FINISHED |
| Object | approximately 2–3 km |
—
|
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: approximately 2–3 km | Statement: [Ein Hod, distanceToMediterraneanSea, approximately 2–3 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMediterraneanSea Context triple: [Ein Hod, distanceToMediterraneanSea, approximately 2–3 km]
-
A.
distanceFromMediterranean
chosen
Indicates the measured spatial distance between a given location and the Mediterranean Sea.
-
B.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
C.
distanceToBlackSea
Indicates the measured spatial distance between a given entity and the Black Sea.
-
D.
dateToReachMediterranean
Indicates the date on which an entity is expected or scheduled to arrive at, or first reach, the Mediterranean.
-
E.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd228488190b216abd1c341563c |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.