Triple
T5794238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelter Plus Care program |
E128467
|
entity |
| Predicate | requiresMatch |
P26018
|
FINISHED |
| Object | supportive services match from providers |
—
|
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: supportive services match from providers | Statement: [Shelter Plus Care program, requiresMatch, supportive services match from providers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresMatch Context triple: [Shelter Plus Care program, requiresMatch, supportive services match from providers]
-
A.
requiresMatchFrom
chosen
Indicates that one entity’s validity or operation depends on finding a corresponding matching entity according to specified criteria.
-
B.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
C.
usesMatchesFrom
Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
-
D.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
E.
requires
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.