Triple
T16633703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick's rock |
E404142
|
entity |
| Predicate | partOfSeriesLocationSet |
P115815
|
FINISHED |
| Object | Bikini Bottom residential area |
—
|
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: Bikini Bottom residential area | Statement: [Patrick's rock, partOfSeriesLocationSet, Bikini Bottom residential area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSeriesLocationSet Context triple: [Patrick's rock, partOfSeriesLocationSet, Bikini Bottom residential area]
-
A.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
basedInSeries
chosen
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
-
C.
fictionalTryoutLocationInSeries
Indicates the location where a fictional tryout event takes place within a specific series.
-
D.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
-
E.
partOfSeriesWith
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.