Triple
T11845412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photo District |
E281761
|
entity |
| Predicate | nameReflects |
P34008
|
FINISHED |
| Object | past concentration of photography studios |
—
|
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: past concentration of photography studios | Statement: [Photo District, nameReflects, past concentration of photography studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameReflects Context triple: [Photo District, nameReflects, past concentration of photography studios]
-
A.
nameIndicates
chosen
Indicates that one entity’s name signifies, reveals, or is used to denote a particular property, identity, or characteristic of another entity.
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
importName
Indicates that one entity brings another entity into a scope, module, or context under a specific name used for reference.
-
D.
nameLiterallyMeans
Indicates that the literal meaning or direct translation of one entity’s name is given by the other entity.
-
E.
nameMayReferTo
Indicates that a given name or label can ambiguously denote or be used for one or more possible entities.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.