Triple
T31914828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9/11 Postcards Memorial |
E814798
|
entity |
| Predicate | numberOfHonoredIndividuals |
P4086
|
FINISHED |
| Object | over 270 |
—
|
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: over 270 | Statement: [9/11 Postcards Memorial, numberOfHonoredIndividuals, over 270]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHonoredIndividuals Context triple: [9/11 Postcards Memorial, numberOfHonoredIndividuals, over 270]
-
A.
numberOfHonoredWomen
Indicates the count of women who have been honored or recognized in a given context or event.
-
B.
numberOfCommemoratedPersons
chosen
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
C.
numberOfHonoreesPerPeriod
Indicates the count of honorees associated with each defined time period.
-
D.
honoredPerson
Indicates that a person is the recipient of honor, recognition, or special distinction from another party or in a particular context.
-
E.
honoredOn
Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0154b16a3c8190b808a460ae3a91ac |
completed | May 11, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_6a01539f19d88190b2de63f5262b1074 |
completed | May 11, 2026, 3:57 a.m. |
Created at: May 1, 2026, 12:02 a.m.