Triple
T15455041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Thousand Greek mercenaries |
E371747
|
entity |
| Predicate | returnJourneyLength |
P118875
|
FINISHED |
| Object | over a year |
—
|
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: over a year | Statement: [Ten Thousand Greek mercenaries, returnJourneyLength, over a year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnJourneyLength Context triple: [Ten Thousand Greek mercenaries, returnJourneyLength, over a year]
-
A.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
B.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
C.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
D.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
E.
traveledFor
Indicates that an entity moved or journeyed to a place or event for a specific purpose, reason, or activity.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:31 a.m.