Triple
T4998113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Keene Mill Road |
E112296
|
entity |
| Predicate | major |
P61396
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Old Keene Mill Road, major, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: major Context triple: [Old Keene Mill Road, major, yes]
-
A.
majorPass
Indicates that an entity successfully completes or passes a significant or primary stage, requirement, or examination in relation to another entity or process.
-
B.
majorExamination
Indicates that an entity is formally assessed through a significant or high-stakes examination or test.
-
C.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
-
D.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
E.
majorForm
Indicates that one entity is the primary or principal form, version, or manifestation of another entity.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:34 p.m.