Triple
T5278431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanos family |
E119430
|
entity |
| Predicate | teamRelocationYear |
P63822
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Spanos family, teamRelocationYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRelocationYear Context triple: [Spanos family, teamRelocationYear, 2017]
-
A.
team2RelocationYear
Indicates the year in which the second team in a relationship was relocated to a different place or franchise.
-
B.
teamRelocationTo
Indicates the movement of a team from one location to another as its new home or base of operations.
-
C.
formerTeamRelocation
Indicates that an entity was previously associated with a team before that team relocated to a different place.
-
D.
teamRelocatedResult
Indicates that a sports team has changed its home location and specifies the outcome or status resulting from that relocation.
-
E.
team2RelocatedToCurrentCity
Indicates that the second team has moved its location to the city where it is currently based.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8c9b82ac819080e798713c0bb4d8 |
completed | March 20, 2026, 6:06 p.m. |
Created at: March 20, 2026, 1:51 p.m.