Triple
T1000776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Bowls |
E21596
|
entity |
| Predicate | sixthBowlEffect |
P22302
|
FINISHED |
| Object | drying up of the Euphrates River |
—
|
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: drying up of the Euphrates River | Statement: [Seven Bowls, sixthBowlEffect, drying up of the Euphrates River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sixthBowlEffect Context triple: [Seven Bowls, sixthBowlEffect, drying up of the Euphrates River]
-
A.
sixthStation
Indicates that one entity is the sixth station or stop in an ordered sequence or route relative to another entity.
-
B.
semifinalBowls
Indicates that the entities are the bowl games that serve as semifinal matchups in a tournament or playoff structure.
-
C.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
-
D.
bowlAccess
Indicates that one entity has the ability or permission to access or use a particular bowl.
-
E.
ProBowls
Indicates that a player has been selected to participate in one or more Pro Bowl all-star games.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b3a02ea481909555cf5b7bed0d9a |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.