Triple
T3235413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trader Sam's Grog Grotto |
E67842
|
entity |
| Predicate | queuePolicy |
P29949
|
FINISHED |
| Object | first-come, first-served |
—
|
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: first-come, first-served | Statement: [Trader Sam's Grog Grotto, queuePolicy, first-come, first-served]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queuePolicy Context triple: [Trader Sam's Grog Grotto, queuePolicy, first-come, first-served]
-
A.
ordinationPolicy
chosen
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
B.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
C.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
D.
gradingPolicy
Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
-
E.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaede0bdc8190a466f11bf2c50836 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.