Triple
T3944370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 World Trade Center (planned) |
E92109
|
entity |
| Predicate | plannedAffordableUnits |
P19276
|
FINISHED |
| Object | approximately 400 |
—
|
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: approximately 400 | Statement: [5 World Trade Center (planned), plannedAffordableUnits, approximately 400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedAffordableUnits Context triple: [5 World Trade Center (planned), plannedAffordableUnits, approximately 400]
-
A.
numberOfHousingUnits
chosen
Indicates the total count of distinct housing units associated with an entity or within a specified area.
-
B.
plannedFacility
Indicates that a facility is intended or scheduled to be built, established, or implemented in the future but does not yet exist or operate.
-
C.
townPlannedWith
Indicates that a town was designed, organized, or laid out in coordination with a particular plan, entity, or planning effort.
-
D.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
-
E.
isPlannedCommunity
Indicates that a community has been intentionally designed and developed according to a coordinated plan rather than growing organically.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.