Triple
T8606148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portsmouth Naval Memorial |
E203801
|
entity |
| Predicate | worldWarOneNames |
P66446
|
FINISHED |
| Object | over 9900 |
—
|
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 9900 | Statement: [Portsmouth Naval Memorial, worldWarOneNames, over 9900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldWarOneNames Context triple: [Portsmouth Naval Memorial, worldWarOneNames, over 9900]
-
A.
roleInWorldWarI
Indicates the specific function, position, or involvement an entity had during World War I.
-
B.
positionOnWorldWarI
Indicates a person’s or group’s stance, opinion, or policy regarding World War I.
-
C.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
-
D.
worldWarIIService
Indicates that an entity served in some capacity during World War II.
-
E.
numberOfWorldWarIUnknowns
chosen
Indicates the quantity of unknown or unspecified entities associated with World War I.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46e9b6a881908f6a6c847519e5e5 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.