Triple
T18119363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Socoh |
E433691
|
entity |
| Predicate | guardedRoute |
P52893
|
FINISHED |
| Object | road from Philistine plain to Judean highlands |
—
|
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: road from Philistine plain to Judean highlands | Statement: [Tel Socoh, guardedRoute, road from Philistine plain to Judean highlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guardedRoute Context triple: [Tel Socoh, guardedRoute, road from Philistine plain to Judean highlands]
-
A.
protectedRoute
chosen
Indicates that access to a particular route or path is restricted and requires specific authorization or authentication to proceed.
-
B.
guardedAs
Indicates that one entity is protected, watched over, or kept secure in the role or capacity specified by another entity.
-
C.
guardedSectionOf
Indicates a relationship where one entity serves as a protective or security boundary for a specific section or portion of another entity.
-
D.
standardRouteProtection
Indicates that a route or path is safeguarded according to a predefined, typical set of security or safety measures.
-
E.
protectedFrom
Indicates that one entity is shielded or safeguarded against harm, damage, or adverse effects caused by another entity or factor.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd843e88190abbc173dbc9b450a |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.