Triple
T1703699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watling Street |
E36821
|
entity |
| Predicate | followsEarlierRoute |
P2127
|
FINISHED |
| Object | pre-Roman trackway |
—
|
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: pre-Roman trackway | Statement: [Watling Street, followsEarlierRoute, pre-Roman trackway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsEarlierRoute Context triple: [Watling Street, followsEarlierRoute, pre-Roman trackway]
-
A.
followsRouteOf
chosen
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
B.
followsFrom
Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
-
C.
previousRoute
Indicates that one route directly precedes another in an ordered sequence of routes.
-
D.
earlyRoute
Indicates that a route or path is taken or scheduled earlier than a standard, expected, or alternative route.
-
E.
nextRoute
Indicates that one route directly follows another in a defined sequence or ordering of routes.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.