Triple
T30969507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schuylkill Haven Borough Council |
E789052
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Mayor of Schuylkill Haven
The Mayor of Schuylkill Haven is the elected head of the borough’s municipal government, responsible for providing local leadership, overseeing public services, and working with the borough council on community affairs and policy.
|
E1940756
|
NE 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: Mayor of Schuylkill Haven | Statement: [Schuylkill Haven Borough Council, worksWith, Mayor of Schuylkill Haven]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mayor of Schuylkill Haven Triple: [Schuylkill Haven Borough Council, worksWith, Mayor of Schuylkill Haven]
Generated description
The Mayor of Schuylkill Haven is the elected head of the borough’s municipal government, responsible for providing local leadership, overseeing public services, and working with the borough council on community affairs and policy.
Provenance (5 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f693877bb48190af654a90e0249e0c |
completed | May 3, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fbba1cb0819092a888ff69189861 |
completed | June 10, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_6a28ff96043881909e9b7be855a5300b |
completed | June 10, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2900375bc8819082ba6533429fc33c |
completed | June 10, 2026, 6:12 a.m. |
Created at: April 29, 2026, 8:54 p.m.