Triple
T1535279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pit |
E32535
|
entity |
| Predicate | hasNickNameOrigin |
P7596
|
FINISHED |
| Object | derived from its sunken, pit-like design |
—
|
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: derived from its sunken, pit-like design | Statement: [The Pit, hasNickNameOrigin, derived from its sunken, pit-like design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNickNameOrigin Context triple: [The Pit, hasNickNameOrigin, derived from its sunken, pit-like design]
-
A.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
B.
hasAcronymOrigin
Indicates that an acronym is derived from or originates from a specific longer expression or name.
-
C.
reasonForNickname
chosen
Indicates the explanation or cause behind why a particular nickname was given to an entity.
-
D.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
E.
hasTraditionalName
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.