Triple
T15229367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lochnagar Crater |
E363957
|
entity |
| Predicate | tunnelDugBy |
P117654
|
FINISHED |
| Object | British tunnelling companies |
—
|
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: British tunnelling companies | Statement: [Lochnagar Crater, tunnelDugBy, British tunnelling companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelDugBy Context triple: [Lochnagar Crater, tunnelDugBy, British tunnelling companies]
-
A.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
B.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
C.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
D.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
E.
drainageTunnelConstructedIn
Indicates that a drainage tunnel was built or established within a specific location or administrative area.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.