Triple
T1400323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 360 Restaurant |
E30764
|
entity |
| Predicate | servesMeal |
P12772
|
FINISHED |
| Object | lunch |
—
|
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: lunch | Statement: [360 Restaurant, servesMeal, lunch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesMeal Context triple: [360 Restaurant, servesMeal, lunch]
-
A.
servesDish
chosen
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
B.
servesAtThePleasureOf
Indicates that one entity holds a position or role that can be terminated at any time by another entity, typically at the discretion or will of that other entity.
-
C.
servingStyle
Indicates how something (typically food or drink) is presented or offered for consumption or use.
-
D.
servesDirection
Indicates that one entity provides service or functionality oriented toward, or in the direction of, another entity.
-
E.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39c4c148190997150996ca26a99 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.