Triple
T11311371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinzua Dam |
E267841
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Kinzua Creek
Kinzua Creek is a tributary stream in northwestern Pennsylvania that flows through the Allegheny National Forest before emptying into the Allegheny River.
|
E925399
|
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: Kinzua Creek | Statement: [Kinzua Dam, namedAfter, Kinzua Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinzua Creek Context triple: [Kinzua Dam, namedAfter, Kinzua Creek]
-
A.
Kagini River
Kagini River is a tributary watercourse in India that feeds into the larger Bhima River system.
-
B.
Kirenga River
The Kirenga River is a Siberian waterway in Russia that flows through Irkutsk Oblast before joining the Lena River.
-
C.
Ruza River
The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
-
D.
Nira River
The Nira River is a significant river in western India that flows through Maharashtra and serves as an important water source for irrigation and local communities before joining the Bhima River.
-
E.
Rega River
The Rega River is a river in northwestern Poland that flows through the West Pomeranian region into the Baltic Sea.
- 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: Kinzua Creek Triple: [Kinzua Dam, namedAfter, Kinzua Creek]
Generated description
Kinzua Creek is a tributary stream in northwestern Pennsylvania that flows through the Allegheny National Forest before emptying into the Allegheny River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinzua Creek Target entity description: Kinzua Creek is a tributary stream in northwestern Pennsylvania that flows through the Allegheny National Forest before emptying into the Allegheny River.
-
A.
Kagini River
Kagini River is a tributary watercourse in India that feeds into the larger Bhima River system.
-
B.
Kirenga River
The Kirenga River is a Siberian waterway in Russia that flows through Irkutsk Oblast before joining the Lena River.
-
C.
Ruza River
The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
-
D.
Nira River
The Nira River is a significant river in western India that flows through Maharashtra and serves as an important water source for irrigation and local communities before joining the Bhima River.
-
E.
Rega River
The Rega River is a river in northwestern Poland that flows through the West Pomeranian region into the Baltic Sea.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d31322d48190aa93b7707ba6fb47 |
completed | April 20, 2026, 7:17 a.m. |
| NEDg | Description generation | batch_69e5d615b6a08190b6000339bec4270d |
completed | April 20, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d924963c8190bfc55ffeb529a499 |
completed | April 20, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:32 p.m.