Triple
T4067113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Colt .45s |
E86349
|
entity |
| Predicate | inceptionAsFranchise |
P53292
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Houston Colt .45s, inceptionAsFranchise, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsFranchise Context triple: [Houston Colt .45s, inceptionAsFranchise, 1962]
-
A.
inceptionPart
Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another entity.
-
B.
inceptionSeason
Indicates the season in which something (such as a series, competition, or activity) first began or was introduced.
-
C.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
D.
inceptionCentury
Indicates the century during which something (such as an institution, tradition, or practice) was originally founded or began.
-
E.
inceptionAsMemorial
Indicates that something was originally created, founded, or established specifically to serve as a memorial or commemoration.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf73a1c81909f1741f4ecf55f98 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:38 p.m.