Triple
T18595637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest County |
E454486
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object |
Tionesta
Tionesta is a small borough in northwestern Pennsylvania known as the county seat of Forest County and its proximity to the Allegheny River and surrounding woodlands.
|
E1332961
|
NE FINISHED |
How this triple was built (4 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: Tionesta | Statement: [Forest County, hasAdministrativeCenter, Tionesta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tionesta Context triple: [Forest County, hasAdministrativeCenter, Tionesta]
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
Toma
Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
-
C.
Toma
Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
-
D.
Toma
Toma is a masculine given name used in various European cultures, often as a form of Thomas.
-
E.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tionesta Triple: [Forest County, hasAdministrativeCenter, Tionesta]
Generated description
Tionesta is a small borough in northwestern Pennsylvania known as the county seat of Forest County and its proximity to the Allegheny River and surrounding woodlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tionesta Target entity description: Tionesta is a small borough in northwestern Pennsylvania known as the county seat of Forest County and its proximity to the Allegheny River and surrounding woodlands.
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
Toma
Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
-
C.
Toma
Toma is a masculine given name used in various European cultures, often as a form of Thomas.
-
D.
Toma
Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
-
E.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
- F. None of above. chosen
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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545ba3bc881908f5308e09d54e05b |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05037eda788190977fcb50aa4d2357 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504cd76388190b67c78250297573d |
completed | May 13, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505482c588190952fe07726f64b93 |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:44 a.m.