Triple
T16300685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancashire Fusiliers |
E395776
|
entity |
| Predicate | battleHonour |
P12198
|
FINISHED |
| Object | Somme |
E83858
|
NE 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: Somme | Statement: [Lancashire Fusiliers, battleHonour, Somme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somme Context triple: [Lancashire Fusiliers, battleHonour, Somme]
-
A.
Ham, Somme
Ham, Somme is a commune in northern France located in the Somme department within the Hauts-de-France region.
-
B.
Somme River
chosen
The Somme River is a waterway in northern France that became historically significant as the site of one of World War I’s largest and bloodiest battles.
-
C.
Verdun
Verdun is a borough of Montreal, Quebec, known for its historic waterfront along the St. Lawrence River and its mix of residential neighborhoods and urban amenities.
-
D.
Verdun
Verdun is a tram stop on the Tramway de Tours network in the city of Tours, France.
-
E.
Yser Front
The Yser Front was a key World War I defensive line in western Belgium where Belgian forces halted the German advance along the Yser River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e31c9e8819094593f3aeb44f2ca |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9fb2908190a8521b1ccf49170a |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.