Triple
T14707175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moat Cailin |
E345455
|
entity |
| Predicate | travelSignificance |
P87607
|
FINISHED |
| Object | bottleneck for armies moving between regions |
—
|
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: bottleneck for armies moving between regions | Statement: [Moat Cailin, travelSignificance, bottleneck for armies moving between regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelSignificance Context triple: [Moat Cailin, travelSignificance, bottleneck for armies moving between regions]
-
A.
travelClassRelevance
Indicates the degree to which a particular travel class (e.g., economy, business) is pertinent or applicable within a given travel context or scenario.
-
B.
travelCharacteristic
chosen
Indicates a quality, feature, or attribute that characterizes how travel or movement is conducted or experienced.
-
C.
travelScope
Indicates the extent or range within which travel is allowed, intended, or applicable for an entity or activity.
-
D.
tourScale
Indicates the relative size, scope, or extent of a tour in comparison to other tours or a standard reference.
-
E.
tourismImportance
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.