Triple
T36196577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pumpkin |
E1047142
|
entity |
| Predicate | settingOfVigil |
P87801
|
FINISHED |
| Object | pumpkin patch |
—
|
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: pumpkin patch | Statement: [Great Pumpkin, settingOfVigil, pumpkin patch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfVigil Context triple: [Great Pumpkin, settingOfVigil, pumpkin patch]
-
A.
observanceSetting
chosen
Indicates the context, environment, or circumstances in which an observance (such as a ritual, ceremony, or practice) takes place.
-
B.
settingOfVisions
Indicates that a particular place or environment serves as the backdrop or location where visions or visionary experiences occur.
-
C.
settingEvoked
Indicates that a particular setting or environment brings about, suggests, or calls to mind a specific response, mood, or association.
-
D.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
-
E.
settingOfDeath
Indicates the specific place or environment in which an entity’s death occurred.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:08 p.m.