Triple
T4376181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secure Communities |
E99011
|
entity |
| Predicate | resultOfMatch |
P56461
|
FINISHED |
| Object | immigration status determination |
—
|
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: immigration status determination | Statement: [Secure Communities, resultOfMatch, immigration status determination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfMatch Context triple: [Secure Communities, resultOfMatch, immigration status determination]
-
A.
featuredMatchWinner
Indicates that an entity is the winner of a highlighted or prominently featured match.
-
B.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
-
C.
finalMatchType
Indicates the specific category or format of the concluding or decisive match in a series or competition.
-
D.
semifinalResult
Indicates the outcome or score of a semifinal-stage contest or match between competitors.
-
E.
competitionResult
Indicates the outcome of a competitive event, specifying how participants placed or performed relative to one another.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523d4e888190b4367ed6aa17d463 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.