Triple
T10655837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | road from Jerusalem to Jericho |
E251084
|
entity |
| Predicate | travelTimeInAntiquity |
P95190
|
FINISHED |
| Object | one-day journey on foot (approximate) |
—
|
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: one-day journey on foot (approximate) | Statement: [road from Jerusalem to Jericho, travelTimeInAntiquity, one-day journey on foot (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeInAntiquity Context triple: [road from Jerusalem to Jericho, travelTimeInAntiquity, one-day journey on foot (approximate)]
-
A.
transportMethodInAntiquity
Indicates the means or mode of transportation used in ancient times to move people or goods from one place to another.
-
B.
ancientCity
Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
-
C.
discoveredInAntiquity
Indicates that something was found, identified, or recognized during ancient historical times rather than in the modern era.
-
D.
timeExistence
Indicates the period or duration during which an entity exists or is valid.
-
E.
timeSavedComparedToOlderRoutes
Indicates the amount of time saved by using the current route compared to older or previously used routes.
- F. None of above. chosen
Provenance (4 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dffa73a08190bf661df600b4ab96 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:07 p.m.