Triple
T7416660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Sandoval hit three home runs in Game 1 |
E171146
|
entity |
| Predicate | homeOrAway |
P76829
|
FINISHED |
| Object | home game for San Francisco Giants |
—
|
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: home game for San Francisco Giants | Statement: [Pablo Sandoval hit three home runs in Game 1, homeOrAway, home game for San Francisco Giants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeOrAway Context triple: [Pablo Sandoval hit three home runs in Game 1, homeOrAway, home game for San Francisco Giants]
-
A.
homeTo
Indicates that a place serves as the primary location, residence, or habitat for a person, group, or thing.
-
B.
homeBaseOf
Indicates that a particular place serves as the primary location, headquarters, or main operational base for an entity.
-
C.
homeManager
Indicates that one entity manages, oversees, or is responsible for the operations or affairs of another entity’s home or household.
-
D.
house1
Indicates that something is identified or classified as a house or dwelling.
-
E.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1c3307481909a7f6bb69d4fddac |
completed | March 27, 2026, 9:08 p.m. |
Created at: March 27, 2026, 3:11 p.m.