Triple
T202340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebron Patriarchs’ Cave |
E4531
|
entity |
| Predicate | enclosedBy |
P7850
|
FINISHED |
| Object | rectangular stone wall |
—
|
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: rectangular stone wall | Statement: [Hebron Patriarchs’ Cave, enclosedBy, rectangular stone wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enclosedBy Context triple: [Hebron Patriarchs’ Cave, enclosedBy, rectangular stone wall]
-
A.
enclosesCountry
Indicates that one geopolitical entity completely surrounds or contains the territory of another country within its boundaries.
-
B.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
E.
inscribedBy
Indicates that one object has another object written, carved, or engraved onto its surface.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.