Triple
T23277083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astor Place Tower |
E588750
|
entity |
| Predicate | hasBalconyOrTerrace |
P151638
|
FINISHED |
| Object | some units |
—
|
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: some units | Statement: [Astor Place Tower, hasBalconyOrTerrace, some units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalconyOrTerrace Context triple: [Astor Place Tower, hasBalconyOrTerrace, some units]
-
A.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
B.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
C.
hasBalconyUse
Indicates that an entity makes use of or has access to a balcony for some purpose or activity.
-
D.
hasBalconyName
Indicates that an entity (such as a building or unit) has a balcony identified by a specific name.
-
E.
numberOfBalconies
Indicates the quantity of balconies associated with a given entity or property.
- F. None of above. chosen
Provenance (4 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:48 p.m.