Triple
T16917782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Ranger Regiment |
E410362
|
entity |
| Predicate | hasSecondaryEnvironment |
P124708
|
FINISHED |
| Object | urban terrain |
—
|
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: urban terrain | Statement: [Royal Ranger Regiment, hasSecondaryEnvironment, urban terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryEnvironment Context triple: [Royal Ranger Regiment, hasSecondaryEnvironment, urban terrain]
-
A.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
B.
hasSecondaryCore
Indicates that an entity possesses an additional, subordinate core component alongside its primary core.
-
C.
hasSecondarySpace
Indicates that an entity possesses or is associated with an additional, subordinate, or auxiliary space beyond its primary one.
-
D.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
E.
hasSecondaryPool
Indicates that an entity possesses an additional, non-primary pool or reservoir associated with it.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdeb74c08190b6f247cdf4b21405 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.