Triple
T14530535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vergible Woods |
E340900
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Vergible Woods |
E341849
|
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: Vergible Woods | Statement: [Vergible Woods, fullName, Vergible Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vergible Woods Context triple: [Vergible Woods, fullName, Vergible Woods]
-
A.
Vergible Woods
chosen
Vergible Woods, better known as Tea Cake, is a central character and Janie's charismatic third husband in Zora Neale Hurston's novel "Their Eyes Were Watching God."
-
B.
Stearns Woods
Stearns Woods is a local natural park and wooded recreation area located in Wyoming, Ohio.
-
C.
Peirce’s Woods
Peirce’s Woods was the historic arboreal tract in Pennsylvania that later became part of the renowned Longwood Gardens estate.
-
D.
Warburton Woods
Warburton Woods is a local nature site near Partington, England, known for its woodland habitat and informal recreational use by the surrounding community.
-
E.
Prouty Woods
Prouty Woods is a protected natural area in Littleton, Massachusetts, known for its forests, trails, and open space for outdoor recreation and wildlife habitat.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a547c408190a1a19e12aac1d5bd |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.