Triple
T28038664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-body |
E708477
|
entity |
| Predicate | hasSettingOfOrigin |
P193294
|
FINISHED |
| Object | Aperture Science Enrichment Center |
—
|
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: Aperture Science Enrichment Center | Statement: [P-body, hasSettingOfOrigin, Aperture Science Enrichment Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettingOfOrigin Context triple: [P-body, hasSettingOfOrigin, Aperture Science Enrichment Center]
-
A.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasTypicalGeographicOrigin
Indicates that an entity is commonly or characteristically associated with originating from a particular geographic location.
-
C.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
D.
hasNetworkOfOrigin
Indicates that an entity originates from, or is primarily associated with, a particular network or source network.
-
E.
hasLikelyOrigin
Indicates that one entity is inferred or believed, with some degree of uncertainty, to be the source or starting point 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: April 27, 2026, 8:23 p.m.