Triple
T319255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Eagles–New York Giants rivalry |
E7775
|
entity |
| Predicate | firstMeetingSeason |
P12963
|
FINISHED |
| Object | 1933 NFL season |
—
|
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: 1933 NFL season | Statement: [Philadelphia Eagles–New York Giants rivalry, firstMeetingSeason, 1933 NFL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingSeason Context triple: [Philadelphia Eagles–New York Giants rivalry, firstMeetingSeason, 1933 NFL season]
-
A.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
-
B.
mayMeet
Indicates that one entity is permitted or has the possibility to meet or come together with another entity.
-
C.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
-
D.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
E.
firstAssemblyMeeting
Indicates that an entity is the initial or inaugural meeting of a particular assembly or deliberative body.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e94513ec819089f5177f7a521e65 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eb7c56bc8190ab787801af2eec8d |
completed | Feb. 28, 2026, 1:19 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.