Triple
T37126174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The People's Train |
E919396
|
entity |
| Predicate | literaryAwardLonglistYear |
P137203
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [The People's Train, literaryAwardLonglistYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryAwardLonglistYear Context triple: [The People's Train, literaryAwardLonglistYear, 2010]
-
A.
literaryAwardLonglist
chosen
Indicates that an entity (such as a work or creator) is included on the longlist for a particular literary award.
-
B.
literaryAwardShortlist
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
C.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
D.
GoncourtPrizeYear
Indicates the year in which an entity received or was awarded the Goncourt Prize.
-
E.
yearLit
Indicates the year in which something was illuminated, lit, or first had lighting installed or activated.
- F. None of above.
Provenance (3 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:15 p.m.