Triple
T5398065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detectorists |
E120705
|
entity |
| Predicate | includesSpecials |
P16447
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Detectorists, includesSpecials, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpecials Context triple: [Detectorists, includesSpecials, true]
-
A.
hasSpecials
Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
-
B.
includesSpecialEpisodes
chosen
Indicates that the subject collection or series contains one or more special, non-regular episodes.
-
C.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
D.
hasStandUpSpecial
Indicates that an entity has created, performed, or released a stand-up comedy special.
-
E.
includesSpecialDay
Indicates that a time period, schedule, or collection contains or encompasses at least one designated special day or occasion.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.