Triple
T2195482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal |
E49961
|
entity |
| Predicate | isSuccessful |
P36707
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Municipal, isSuccessful, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuccessful Context triple: [Municipal, isSuccessful, true]
-
A.
exportSuccess
Indicates that an attempted export operation completed successfully.
-
B.
isComplete
Indicates that an action, process, or object has finished all required steps or reached its final state with nothing remaining to be done.
-
C.
successMetric
Indicates the specific criterion or measure used to evaluate whether an action, process, or relationship has achieved its intended success.
-
D.
successRate
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
E.
missionOutcome
Indicates the result or consequence of a mission, specifying whether and how the mission’s objectives were achieved or failed.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf764e348190896af2aeb5520038 |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:46 p.m.