Triple
T5824699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss America pageant |
E129193
|
entity |
| Predicate | participantRequirement |
P67164
|
FINISHED |
| Object | unmarried women |
—
|
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: unmarried women | Statement: [Miss America pageant, participantRequirement, unmarried women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantRequirement Context triple: [Miss America pageant, participantRequirement, unmarried women]
-
A.
campaignRequirement
Indicates that one entity specifies a condition or prerequisite that must be met for a campaign associated with another entity.
-
B.
registrationRequirement
Indicates that an entity is obligated to formally register with a specified authority, system, or registry under certain conditions.
-
C.
visitorRequirement
Indicates the conditions or criteria that must be met by a visitor in order to be allowed or accepted.
-
D.
volunteerRequirement
Indicates that an entity has a condition or obligation specifying the need for volunteers or volunteer participation.
-
E.
rosterRequirement
Indicates that one entity specifies or imposes a required composition, number, or type of participants that must be included in another entity’s roster.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:53 p.m.