Triple
T36167330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act II (Romeo and Juliet) |
E1046042
|
entity |
| Predicate | containsSceneNumberRange |
P36590
|
FINISHED |
| Object | Act II, scenes i–vi |
—
|
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: Act II, scenes i–vi | Statement: [Act II (Romeo and Juliet), containsSceneNumberRange, Act II, scenes i–vi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSceneNumberRange Context triple: [Act II (Romeo and Juliet), containsSceneNumberRange, Act II, scenes i–vi]
-
A.
includesNumberingRange
chosen
Indicates that one entity contains or covers a specified contiguous range of numbers associated with another entity.
-
B.
hasDayNumberRange
Indicates that something is associated with a contiguous range of day numbers between a specified minimum and maximum value.
-
C.
hasStageRange
Indicates that there is a defined range of stages or phases associated with an entity, from a starting stage to an ending stage.
-
D.
hasPageRange
Indicates that one entity (such as a document section or article) spans a specific, continuous range of pages in another entity (such as a publication or volume).
-
E.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
Created at: May 3, 2026, 4:08 p.m.