Triple
T37689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One World Trade Center |
E745
|
entity |
| Predicate | hasLEEDCertification |
P2473
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [One World Trade Center, hasLEEDCertification, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLEEDCertification Context triple: [One World Trade Center, hasLEEDCertification, yes]
-
A.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
-
B.
qualificationBadge
Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
-
C.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
D.
accreditation
Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
-
E.
hasLCClassification
Indicates that an entity is assigned a specific Library of Congress Classification code representing its subject or shelving category.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b4d5bd08190a3a48eb26e67768c |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ab6141881908701106aa97e4735 |
completed | Feb. 28, 2026, 1:53 a.m. |
| PDg | Predicate description generation | batch_69a24b4c59b08190854b5335f5eff790 |
completed | Feb. 28, 2026, 1:56 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.