Triple
T16734003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A10 road |
E406669
|
entity |
| Predicate | historicallyFollows |
P16345
|
FINISHED |
| Object | route of Roman Ermine Street in parts |
—
|
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: route of Roman Ermine Street in parts | Statement: [A10 road, historicallyFollows, route of Roman Ermine Street in parts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyFollows Context triple: [A10 road, historicallyFollows, route of Roman Ermine Street in parts]
-
A.
historicallyExtendedBy
Indicates that something has been continued, expanded, or carried forward over time by another, later entity or development.
-
B.
historicallyLinked
chosen
Indicates that two entities are connected through a shared or related historical event, period, or development.
-
C.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
D.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
E.
heritageFollowedBy
Indicates that one heritage, tradition, or cultural lineage comes after and is influenced or continued by another in a temporal or developmental sequence.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c38c9cc8190a3220cc3684388dc |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.