Triple
T16854846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Path of Illumination |
E409756
|
entity |
| Predicate | readerExperience |
P125244
|
FINISHED |
| Object | functions as a literary tour of Rome |
—
|
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: functions as a literary tour of Rome | Statement: [Path of Illumination, readerExperience, functions as a literary tour of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readerExperience Context triple: [Path of Illumination, readerExperience, functions as a literary tour of Rome]
-
A.
readingExperience
Indicates the relationship in which an entity engages with written or visual material, capturing the act, manner, or quality of that reading activity.
-
B.
readerReception
Indicates how readers interpret, respond to, or are affected by a particular text or work.
-
C.
reading
Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
-
D.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
E.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37c6e808190975b14b228253029 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.