Triple
T8748310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Sister States |
E207887
|
entity |
| Predicate | isContiguous |
P6559
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Seven Sister States, isContiguous, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContiguous Context triple: [Seven Sister States, isContiguous, true]
-
A.
isContiguousState
chosen
Indicates that a state shares a continuous land border with the main body of the country, without being separated by foreign territory or significant bodies of water.
-
B.
isNonContiguous
Indicates that the related elements are separated by one or more gaps and do not form a single continuous sequence or region.
-
C.
hasRepresentationContinuity
Indicates that one entity maintains a consistent or continuous representational relationship with another across time, context, or state changes.
-
D.
canBeContinuous
Indicates that something has the potential to occur, exist, or be maintained without interruption over a continuous range or period.
-
E.
belongsToContinuity
Indicates that something is part of, or exists within, a specific narrative or temporal continuity.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da2d67c819094b2b39c78384d0d |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.