Triple
T36170512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Market for Lemons |
E1046130
|
entity |
| Predicate | yearFirstCirculated |
P184990
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [The Market for Lemons, yearFirstCirculated, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFirstCirculated Context triple: [The Market for Lemons, yearFirstCirculated, 1967]
-
A.
firstYearOfMintage
Indicates the year in which a coin or similar item was first officially produced or issued.
-
B.
yearsOfMinting
Indicates the span of years during which an item (such as a coin or stamp) was actively produced or issued.
-
C.
circulatedDuring
Indicates that something was in active distribution or use throughout a specified time period or event.
-
D.
firstSeriesBanknotesIntroduced
Indicates the time or event when the initial series of banknotes for a currency or issuer was first put into circulation.
-
E.
coinsProduced
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.