Triple
T29694123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type I string theory |
E751295
|
entity |
| Predicate | hasChanPatonFactors |
P189438
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Type I string theory, hasChanPatonFactors, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChanPatonFactors Context triple: [Type I string theory, hasChanPatonFactors, yes]
-
A.
hasChancel
Indicates that something possesses or includes a chancel as part of its structure or layout.
-
B.
hasPATA
Indicates that one entity possesses or is equipped with a Parallel ATA (PATA) interface or connection to another entity.
-
C.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
D.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
-
E.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 28, 2026, 7:19 p.m.