Triple
T23808760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōhinehou |
E589787
|
entity |
| Predicate | hasModernCounterpartName |
P20950
|
FINISHED |
| Object | Lyttelton |
—
|
NE NERFINISHED |
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: Lyttelton | Statement: [Ōhinehou, hasModernCounterpartName, Lyttelton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernCounterpartName Context triple: [Ōhinehou, hasModernCounterpartName, Lyttelton]
-
A.
hasModernName
chosen
Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
-
B.
hasModernNamesake
Indicates that an entity is the namesake or inspiration for a modern entity that shares or derives its name from it.
-
C.
hasModernNameLanguage
Indicates that the modern name of an entity is expressed in a particular language.
-
D.
hasModernHistoriographicalName
Indicates that an entity is associated with the name or label used for it in modern historiography.
-
E.
hasCounterpartName
Indicates that an entity has an alternative or corresponding name used as its counterpart in another context, system, or representation.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c753c46081908b3c9e5c2517b051 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.