Triple
T9130451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohamed Atta |
E219071
|
entity |
| Predicate | entryToUnitedStatesDate |
P87280
|
FINISHED |
| Object | 2000-06-03 |
—
|
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: 2000-06-03 | Statement: [Mohamed Atta, entryToUnitedStatesDate, 2000-06-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryToUnitedStatesDate Context triple: [Mohamed Atta, entryToUnitedStatesDate, 2000-06-03]
-
A.
SchengenEntryDate
Indicates the date on which an entity entered the Schengen Area.
-
B.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
C.
borderWithUnitedStatesVia
Indicates that one entity shares a border with the United States specifically through or along the second entity (such as a body of water, territory, or region).
-
D.
visaRequirement
Indicates whether one party must obtain a visa in order to enter, stay in, or transit through the territory of another party.
-
E.
arrivalInHavanaDate
Indicates the date on which an entity arrives in Havana.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cdafb48190be5e62b15779d771 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.