Triple
T10310600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Embarcadero Center |
E241877
|
entity |
| Predicate | hasNumberWithinComplex |
P55777
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Four Embarcadero Center, hasNumberWithinComplex, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberWithinComplex Context triple: [Four Embarcadero Center, hasNumberWithinComplex, 4]
-
A.
hasNumberWithinWork
Indicates that a specific number or numeric value is contained, referenced, or used within a particular work (such as a document, publication, or creative piece).
-
B.
containsNumber
chosen
Indicates that one entity includes or has at least one numeric value or digit within it.
-
C.
hasComplex
Indicates that one entity possesses, is associated with, or is part of a larger composite structure or complex formed with another entity.
-
D.
hasComplexPoints
Indicates that something possesses or includes points that are intricate, detailed, or composed of multiple interconnected parts.
-
E.
isTotallyComplex
Indicates that something possesses a level of complexity that is complete, multifaceted, and not reducible to simpler or purely real/straightforward components.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:47 a.m.