Triple
T30035382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest House, Pennsylvania |
E763140
|
entity |
| Predicate | primaryMaterialContext |
P203649
|
FINISHED |
| Object | woodland |
—
|
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: woodland | Statement: [Forest House, Pennsylvania, primaryMaterialContext, woodland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMaterialContext Context triple: [Forest House, Pennsylvania, primaryMaterialContext, woodland]
-
A.
commonMaterialContext
Indicates that two or more entities share a similar or related material composition, substance, or physical makeup.
-
B.
primaryMaterialOnDisplay
Indicates that a material is the main or dominant substance featured in the visible presentation or display of an object or item.
-
C.
originalMaterialFor
Indicates that one entity serves as the source or basis material from which another entity is derived, adapted, or created.
-
D.
primaryTargetMaterial
Indicates the material that serves as the main or principal target in a given process, action, or interaction.
-
E.
primaryFunctionContext
Indicates the main situational or operational context in which a function, role, or process is primarily intended to be used or performed.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
| PDg | Predicate description generation | batch_6a01bdaba3bc8190aca1be8a0df6abad |
completed | May 11, 2026, 11:29 a.m. |
Created at: April 29, 2026, 6:51 p.m.