Triple
T13648206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl in Landscape |
E326658
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Pella Marsh |
E1053802
|
NE 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: Pella Marsh | Statement: [Girl in Landscape, hasCharacter, Pella Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pella Marsh Context triple: [Girl in Landscape, hasCharacter, Pella Marsh]
-
A.
Pella Marsh
chosen
Pella Marsh is the young protagonist of Roxana Robinson’s novel "Girl in Landscape," navigating adolescence, loss, and identity in a stark, emotionally charged setting.
-
B.
Temple Marsh
Temple Marsh is a small industrial and residential area forming part of the town of Strood in Kent, England.
-
C.
Odiel Marshes
Odiel Marshes is a protected coastal wetland and biosphere reserve in southwestern Spain, renowned for its rich birdlife and diverse estuarine ecosystems.
-
D.
Beaver Marsh
Beaver Marsh is a restored wetland area within Cuyahoga Valley National Park known for its rich wildlife habitat and scenic boardwalk views.
-
E.
Schinias Marsh
Schinias Marsh is a coastal wetland area in eastern Attica, Greece, known for its rich biodiversity and proximity to the historic site of Marathon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943610488190838719ad31207c52 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:52 p.m.