Triple
T30580074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Trade Center Site Memorial Competition |
E778358
|
entity |
| Predicate | numberOfSubmissions |
P202467
|
FINISHED |
| Object | 5201 |
—
|
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: 5201 | Statement: [World Trade Center Site Memorial Competition, numberOfSubmissions, 5201]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubmissions Context triple: [World Trade Center Site Memorial Competition, numberOfSubmissions, 5201]
-
A.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
B.
submissionBy
Indicates that one entity is the submitter or originator of a particular submission associated with another entity.
-
C.
submissionWith
Indicates that one entity is submitted together with, or as part of the same submission as, another entity.
-
D.
submittedTo
Indicates that one entity has formally sent or presented something (such as a document, request, or work) to another entity for consideration, review, or processing.
-
E.
subjectCount
Indicates the number of subjects associated with or involved in a given entity or context.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0082989e6c819099fea0e706332e37 |
completed | May 10, 2026, 1:05 p.m. |
| PD | Predicate disambiguation | batch_6a0081ed6a1481908baf472876e28db9 |
completed | May 10, 2026, 1:02 p.m. |
| PDg | Predicate description generation | batch_6a008297ad4c81909ee2e713d2c754d1 |
completed | May 10, 2026, 1:05 p.m. |
Created at: April 29, 2026, 8:23 p.m.