Triple
T28931978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassel Hills Golf Course |
E733809
|
entity |
| Predicate | courseReputation |
P166031
|
FINISHED |
| Object | challenging layout |
—
|
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: challenging layout | Statement: [Cassel Hills Golf Course, courseReputation, challenging layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseReputation Context triple: [Cassel Hills Golf Course, courseReputation, challenging layout]
-
A.
studentReputation
Indicates the perceived standing or regard a student holds within an academic or social context, based on others’ evaluations of their behavior or performance.
-
B.
courseCup
Indicates that a particular cup is used for or associated with serving a specific course in a meal.
-
C.
pedagogicalReputation
Indicates the perceived quality or standing of an entity’s teaching or instructional effectiveness as judged by others.
-
D.
schoolOrRecension
Indicates a relationship where one entity is classified as belonging to, derived from, or associated with a particular school, tradition, or textual recension of another entity.
-
E.
isCourse
Indicates that an entity functions as or qualifies as a course within a given context or system.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:28 a.m.