Triple
T267670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland Hotel, Manchester |
E5766
|
entity |
| Predicate | hasStarRating |
P3335
|
FINISHED |
| Object | 4-star |
—
|
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: 4-star | Statement: [Midland Hotel, Manchester, hasStarRating, 4-star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarRating Context triple: [Midland Hotel, Manchester, hasStarRating, 4-star]
-
A.
starCount
chosen
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
starCountAboveEagle
Indicates that the number of stars associated with one entity is greater than the number of stars associated with the entity referred to as "Eagle."
-
C.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
D.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
E.
rankingBasis
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
- F. None of above.
Provenance (3 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.