Triple
T20690414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SO(32) heterotic string theory |
E508535
|
entity |
| Predicate | isTachyonFree |
P141078
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SO(32) heterotic string theory, isTachyonFree, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTachyonFree Context triple: [SO(32) heterotic string theory, isTachyonFree, true]
-
A.
isFreeToUse
Indicates that something can be used without cost, restriction, or required permission.
-
B.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
C.
hasFreeRoads
Indicates that an entity provides or is associated with roads that can be used without paying tolls or fees.
-
D.
isCarFreeAtTimes
Indicates that an entity is free of cars or motor vehicles during certain specified times or periods.
-
E.
isIceFree
Indicates that a location, surface, or object is not covered by ice or free from ice presence.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:08 p.m.