Triple
T6776533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anstruther Fish Bar |
E155170
|
entity |
| Predicate | queueLength |
P72728
|
FINISHED |
| Object | often long |
—
|
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: often long | Statement: [Anstruther Fish Bar, queueLength, often long]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueLength Context triple: [Anstruther Fish Bar, queueLength, often long]
-
A.
queueLengthMaximum
Indicates the maximum allowable length or capacity of a queue before it is considered full or exceeds its limit.
-
B.
instructionQueueLength
Indicates the current number of instructions waiting in a queue to be processed.
-
C.
frontLineLength
Indicates the total measured extent of the front line where opposing forces or boundaries directly face each other.
-
D.
queueLocation
Indicates the place or position where an entity is arranged to wait in a queue or line.
-
E.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:13 p.m.