Triple
T26208216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reproduction |
E655411
|
entity |
| Predicate | includedSingle |
P190475
|
FINISHED |
| Object | Empire State Human |
—
|
NE NERFINISHED |
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: Empire State Human | Statement: [Reproduction, includedSingle, Empire State Human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedSingle Context triple: [Reproduction, includedSingle, Empire State Human]
-
A.
includedOnSingle
Indicates that something is contained or listed within exactly one specific item, set, or context, and not in any others.
-
B.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
C.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
includesSinglesFrom
Indicates that a collection or group contains individual single items originating from a specified source or set.
-
E.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 26, 2026, 8:51 p.m.