Triple
T30028647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskingum River Parkway |
E762950
|
entity |
| Predicate | hasDamCount |
P170185
|
FINISHED |
| Object | 10 dams |
—
|
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: 10 dams | Statement: [Muskingum River Parkway, hasDamCount, 10 dams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDamCount Context triple: [Muskingum River Parkway, hasDamCount, 10 dams]
-
A.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
B.
hasDamFunction
Indicates that something serves the role or performs the function of a dam, such as impounding or regulating the flow of water.
-
C.
isDamFree
Indicates that something (such as a river, waterway, or habitat) is free of dams or artificial barriers that obstruct water flow.
-
D.
hasNumberOfDaf
Indicates the specific count of "daf" (pages/folios) associated with an entity.
-
E.
hasTypeOfDamage
Indicates that an entity experiences or exhibits a specific kind or category of damage.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 6:49 p.m.