Triple
T37661582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End Barrens |
E937728
|
entity |
| Predicate | hasEndCities |
P196407
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [End Barrens, hasEndCities, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndCities Context triple: [End Barrens, hasEndCities, false]
-
A.
hasEndpointCity
Indicates that a route, connection, or path terminates at a particular city as one of its endpoints.
-
B.
hasCityPair
Indicates a relationship that links two cities considered as a connected or associated pair, often for purposes such as travel, trade, or comparison.
-
C.
hasTargetCity
Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
-
D.
hasCapitalTerminus
Indicates that a transportation route or line has its endpoint located in a capital city.
-
E.
hasUrbanTerminus
Indicates that a route, line, or service ends or terminates within an urban area or city.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69fe30bb07d08190877539d5aa202d24 |
completed | May 8, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.