Triple
T15043199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allenby Street (Tel Aviv) |
E379153
|
entity |
| Predicate | hasSectionCharacterizedBy |
P85325
|
FINISHED |
| Object | dense retail frontage |
—
|
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: dense retail frontage | Statement: [Allenby Street (Tel Aviv), hasSectionCharacterizedBy, dense retail frontage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionCharacterizedBy Context triple: [Allenby Street (Tel Aviv), hasSectionCharacterizedBy, dense retail frontage]
-
A.
hasSectionRole
Indicates that an entity holds a specific role or function within a particular section or subdivision of a larger structure or context.
-
B.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
C.
hasSectionIn
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
D.
hasSectionWith
chosen
Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
-
E.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3 a.m.