Triple
T28834192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qaryut |
E728132
|
entity |
| Predicate | locatedOnLandForm |
P159560
|
FINISHED |
| Object | hill country of central West Bank |
—
|
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: hill country of central West Bank | Statement: [Qaryut, locatedOnLandForm, hill country of central West Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnLandForm Context triple: [Qaryut, locatedOnLandForm, hill country of central West Bank]
-
A.
locatedOnIslandOrPeninsula
Indicates that something is situated on an island or on a peninsula, rather than on a mainland area.
-
B.
onLandmass
chosen
Indicates that one entity is physically located on or within the boundaries of a specified landmass.
-
C.
landsAt
Indicates that a moving entity arrives and comes to rest at a specific location or destination.
-
D.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
E.
locatedOnCoastAt
Indicates that one entity is situated on the coastline at the specific location represented by another entity.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 28, 2026, 6:38 a.m.