Triple
T722768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westwall |
E14653
|
entity |
| Predicate | hasEstimatedNumberOfBunkers |
P18633
|
FINISHED |
| Object | more than 18,000 |
—
|
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: more than 18,000 | Statement: [Westwall, hasEstimatedNumberOfBunkers, more than 18,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstimatedNumberOfBunkers Context triple: [Westwall, hasEstimatedNumberOfBunkers, more than 18,000]
-
A.
numberOfTanks
Indicates the quantity or count of tanks associated with a given entity or context.
-
B.
hasRefuellingCapabilityFor
Indicates that one entity is capable of providing or performing refuelling operations for another entity.
-
C.
numberOfPumps
Indicates the quantity of pumps associated with or required by an entity or system.
-
D.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
-
E.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a55a26e081908134ee93faaf7c40 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.