Triple
T8722368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachelor’s Grove Cemetery |
E207041
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Rubio Woods
Rubio Woods is a forest preserve in Cook County, Illinois, known for its dense woodland and proximity to the famously haunted Bachelor's Grove Cemetery.
|
E752874
|
NE FINISHED |
How this triple was built (4 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: Rubio Woods | Statement: [Bachelor’s Grove Cemetery, adjacentTo, Rubio Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubio Woods Context triple: [Bachelor’s Grove Cemetery, adjacentTo, Rubio Woods]
-
A.
Tawny Cypress
Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
-
B.
Cedar Forest
Cedar Forest is the legendary, divinely protected woodland in Mesopotamian mythology where the hero Gilgamesh confronts the guardian monster Humbaba.
-
C.
Chitwood
Chitwood was a pioneering nematologist best known for his foundational work in describing and classifying plant-parasitic nematodes.
-
D.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
E.
Grand Forest
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rubio Woods Triple: [Bachelor’s Grove Cemetery, adjacentTo, Rubio Woods]
Generated description
Rubio Woods is a forest preserve in Cook County, Illinois, known for its dense woodland and proximity to the famously haunted Bachelor's Grove Cemetery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rubio Woods Target entity description: Rubio Woods is a forest preserve in Cook County, Illinois, known for its dense woodland and proximity to the famously haunted Bachelor's Grove Cemetery.
-
A.
Tawny Cypress
Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
-
B.
Cedar Forest
Cedar Forest is the legendary, divinely protected woodland in Mesopotamian mythology where the hero Gilgamesh confronts the guardian monster Humbaba.
-
C.
Chitwood
Chitwood was a pioneering nematologist best known for his foundational work in describing and classifying plant-parasitic nematodes.
-
D.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
E.
Grand Forest
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
- F. None of above. chosen
Provenance (5 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
| NEDg | Description generation | batch_69cf2bd32cc881909ac8a61befa9929e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c69f83481909423858668d03a8b |
completed | April 3, 2026, 2:56 a.m. |
Created at: March 30, 2026, 6:36 p.m.